Stem bias$ (all stems)

180 papers:

DATE-2015-KuhnPABR

Spatial and temporal granularity limits of body biasing in UTBB-FDSOI (JMK, DP, HA, OB, WR), pp. 876–879.

DATE-2015-LiXWNP #fine-grained #multi #power management #reduction #using

Leakage power reduction for deeply-scaled FinFET circuits operating in multiple voltage regimes using fine-grained gate-length biasing technique (JL, QX, YW, SN, MP), pp. 1579–1582.

HT-2015-DallmannLZH #bias #online

Media Bias in German Online Newspapers (AD, FL, DZ, AH), pp. 133–137.

HT-2015-Graells-Garrido #bias #gender #wiki #women

First Women, Second Sex: Gender Bias in Wikipedia (EGG, ML, FM), pp. 165–174.

ICSME-2015-PiorkowskiFSBKH #bias #debugging #developer #how #information management

To fix or to learn? How production bias affects developers’ information foraging during debugging (DP, SDF, CS, MMB, IK, AZH, JM, CH, AH), pp. 11–20.

CHI-2015-Otterbacher #bias #crowdsourcing #metadata

Crowdsourcing Stereotypes: Linguistic Bias in Metadata Generated via GWAP (JO), pp. 1955–1964.

CHI-2015-Ruiz0 #bias #constraints #elicitation #gesture #legacy #performance

Soft-Constraints to Reduce Legacy and Performance Bias to Elicit Whole-body Gestures with Low Arm Fatigue (JR, DV), pp. 3347–3350.

CHI-2015-ZhangBK #bias #design #information management

Designing Information for Remediating Cognitive Biases in Decision-Making (YZ, RKEB, WAK), pp. 2211–2220.

CSCW-2015-QuattroneCM #bias #dataset

There’s No Such Thing as the Perfect Map: Quantifying Bias in Spatial Crowd-sourcing Datasets (GQ, LC, PDM), pp. 1021–1032.

HCI-UC-2015-Fraoua #bias #information management

Moral Biases and Decision: Impact of Information System on Moral Biases (KEF), pp. 291–302.

ECIR-2015-FerroS #precise

Rank-Biased Precision Reloaded: Reproducibility and Generalization (NF, GS), pp. 768–780.

ECIR-2015-WilkieA #bias #comparison #difference #metric #retrieval

Retrievability and Retrieval Bias: A Comparison of Inequality Measures (CW, LA), pp. 209–214.

RecSys-2015-GuoD #approach #bias #category theory

Uncovering Systematic Bias in Ratings across Categories: a Bayesian Approach (FG, DBD), pp. 317–320.

SIGIR-2015-LipaniLH #anti #bias #precise

Splitting Water: Precision and Anti-Precision to Reduce Pool Bias (AL, ML, AH), pp. 103–112.

SAC-2015-IqbalKK #analysis #sentiment

Bias-aware lexicon-based sentiment analysis (MI, AK, FK), pp. 845–850.

ASE-2014-KochharTL #bias #debugging #locality #matter #question

Potential biases in bug localization: do they matter? (PSK, YT, DL), pp. 803–814.

DAC-2014-AkgulPLBPBT #power management

Power management through DVFS and dynamic body biasing in FD-SOI circuits (YA, DP, SL, EB, IMP, PB, LT), p. 6.

DAC-2014-MotamanG #array #robust #self #testing

Simultaneous Sizing, Reference Voltage and Clamp Voltage Biasing for Robustness, Self-Calibration and Testability of STTRAM Arrays (SM, SG), p. 2.

DATE-2014-KhanAHKKRC #analysis #bias

Bias Temperature Instability analysis of FinFET based SRAM cells (SK, IA, SH, HK, BK, PR, FC), pp. 1–6.

STOC-2014-BermanHT #bias #constant

Coin flipping of any constant bias implies one-way functions (IB, IH, AT), pp. 398–407.

CHI-2014-Solomon #bias

Customization bias in decision support systems (JS), pp. 3065–3074.

CIKM-2014-WilkieA #analysis #bias #performance #retrieval

A Retrievability Analysis: Exploring the Relationship Between Retrieval Bias and Retrieval Performance (CW, LA), pp. 81–90.

CIKM-2014-ZhangHSWHH #evaluation

Generalized Bias-Variance Evaluation of TREC Participated Systems (PZ, LH, DS, JW, YH, BH), pp. 1911–1914.

ECIR-2014-DincerOM #evaluation #retrieval

Tackling Biased Baselines in the Risk-Sensitive Evaluation of Retrieval Systems (BTD, IO, CM), pp. 26–38.

ECIR-2014-HofmannSBR #bias #evaluation #recommendation

Effects of Position Bias on Click-Based Recommender Evaluation (KH, AS, AB, MdR), pp. 624–630.

ECIR-2014-WilkieA #analysis #bias #empirical #retrieval

Best and Fairest: An Empirical Analysis of Retrieval System Bias (CW, LA), pp. 13–25.

ECIR-2014-WilkieA14a #bias

Efficiently Estimating Retrievability Bias (CW, LA), pp. 720–726.

ICML-c1-2014-Thomas #algorithm #bias

Bias in Natural Actor-Critic Algorithms (PT), pp. 441–448.

ICPR-2014-CabreraMS #bias

Systematic Labeling Bias: De-biasing Where Everyone is Wrong (GFC, CJM, JS), pp. 4417–4422.

KR-2014-PereiraDH #abduction #approach #bias #reasoning

An Abductive Reasoning Approach to the Belief Bias Effect (LMP, EAD, SH).

RecSys-2014-AdamopoulosT14a #bias #collaboration #on the #probability #recommendation

On over-specialization and concentration bias of recommendations: probabilistic neighborhood selection in collaborative filtering systems (PA, AT), pp. 153–160.

RecSys-2014-KrishnanPFG #bias #learning #recommendation #social

A methodology for learning, analyzing, and mitigating social influence bias in recommender systems (SK, JP, MJF, KG), pp. 137–144.

SIGIR-2014-YeniterziC #bias #testing

Analyzing bias in CQA-based expert finding test sets (RY, JC), pp. 967–970.

POPL-2014-SharmaNA #program analysis #trade-off

Bias-variance tradeoffs in program analysis (RS, AVN, AA), pp. 127–138.

SAT-2014-Nordstrom #bibliography #complexity #proving #satisfiability

A (Biased) Proof Complexity Survey for SAT Practitioners (JN), pp. 1–6.

DATE-2013-DiversiBTBB #identification

SCC thermal model identification via advanced bias-compensated least-squares (RD, AB, AT, FB, LB), pp. 230–235.

DATE-2013-RakossyHTSNO #architecture #array #fault #functional #testing

Hot-swapping architecture with back-biased testing for mitigation of permanent faults in functional unit array (ZER, MH, HT, TS, YN, HO), pp. 535–540.

CSCW-2013-MorganLS #question #twitter

Is news sharing on Twitter ideologically biased? (JSM, CL, MZS), pp. 887–896.

DHM-SET-2013-BiegBC #behaviour #bias

Attentional Biases during Steering Behavior (HJB, HHB, LLC), pp. 21–27.

SEKE-2013-CalikliB #bias #developer #fault #predict

The Impact of Confirmation Bias on the Release-based Defect Prediction of Developer Groups (GÇ, AB), pp. 461–466.

SIGIR-2013-AktolgaA #bias #sentiment

Sentiment diversification with different biases (EA, JA), pp. 593–602.

SIGIR-2013-WebberBLO #classification #effectiveness #evaluation #testing

Sequential testing in classifier evaluation yields biased estimates of effectiveness (WW, MB, DDL, DWO), pp. 933–936.

SIGIR-2013-White #bias #web

Beliefs and biases in web search (RW), pp. 3–12.

SIGIR-2013-ZhangSWH #composition #evaluation #information retrieval

Bias-variance decomposition of ir evaluation (PZ, DS, JW, YH), pp. 1021–1024.

ESEC-FSE-2013-RahmanPHD #bias #fault #predict

Sample size vs. bias in defect prediction (FR, DP, IH, PTD), pp. 147–157.

CHI-2012-AntinS #bias #case study #motivation #self #social

Social desirability bias and self-reports of motivation: a study of amazon mechanical turk in the US and India (JA, ADS), pp. 2925–2934.

CHI-2012-DellVMCT #bias #exclamation #human-computer #quote

“Yours is better!”: participant response bias in HCI (ND, VV, IM, EC, WT), pp. 1321–1330.

CIKM-2012-HofmannBR #bias #on the

On caption bias in interleaving experiments (KH, FB, FR), pp. 115–124.

CIKM-2012-LeelanupabZJ #analysis #cumulative #parametricity

A comprehensive analysis of parameter settings for novelty-biased cumulative gain (TL, GZ, JMJ), pp. 1950–1954.

CIKM-2012-SmuckerC #probability #simulation

Stochastic simulation of time-biased gain (MDS, CLAC), pp. 2040–2044.

CIKM-2012-VydiswaranZRP #education #named #topic

BiasTrust: teaching biased users about controversial topics (VGVV, CZ, DR, PP), pp. 1905–1909.

CIKM-2012-ZhangHLL #learning #rank #realtime #twitter

Query-biased learning to rank for real-time twitter search (XZ, BH, TL, BL), pp. 1915–1919.

ICML-2012-Honorio #convergence #learning #modelling #optimisation #probability

Convergence Rates of Biased Stochastic Optimization for Learning Sparse Ising Models (JH), p. 144.

ICPR-2012-WangWZJ #analysis #bias #database

Bias analyses of spontaneous facial expression database (ZW, SW, YZ, QJ), pp. 2926–2929.

SEKE-2012-Zhang #bias #learning #named

i2Learning: Perpetual Learning through Bias Shifting (DZ), pp. 249–255.

ICSE-2012-GoreR #bias #debugging #metric #statistics

Reducing confounding bias in predicate-level statistical debugging metrics (RG, PFRJ), pp. 463–473.

LICS-2012-BienvenuM #revisited

Von Neumann’s Biased Coin Revisited (LB, BM), pp. 145–154.

TACAS-2011-TalupurH #model checking #using

Biased Model Checking Using Flows (MT, HH), pp. 239–253.

HCI-UA-2011-ItoIN #bias #information management #parametricity #using

Method for Cultivating the “Inquiry-Mindset” Using the Information Access-Based Belief Bias Parameter (KI, YI, SN), pp. 48–57.

CIKM-2011-XingZZ #bias #feedback #on the #problem

On bias problem in relevance feedback (QX, YZ, LZ), pp. 1965–1968.

KDD-2011-DengHZYL #modelling #network #probability #topic

Probabilistic topic models with biased propagation on heterogeneous information networks (HD, JH, BZ, YY, CXL), pp. 1271–1279.

KDD-2011-GuerraVMA #analysis #approach #bias #realtime #sentiment

From bias to opinion: a transfer-learning approach to real-time sentiment analysis (PHCG, AV, WMJ, VA), pp. 150–158.

KDD-2011-MaiyaB #bias #network #towards

Benefits of bias: towards better characterization of network sampling (ASM, TYBW), pp. 105–113.

DATE-2010-LongM #bias #monitoring #network #optimisation

Optimization of the bias current network for accurate on-chip thermal monitoring (JL, SOM), pp. 1365–1368.

WCRE-2010-NguyenAH #bias #case study #dataset #debugging

A Case Study of Bias in Bug-Fix Datasets (THDN, BA, AEH), pp. 259–268.

CHI-2010-YangX #2d #bias #towards

Bias towards regular configuration in 2D pointing (HY, XX), pp. 1391–1400.

CIKM-2010-PalK #bias #community #identification

Expert identification in community question answering: exploring question selection bias (AP, JAK), pp. 1505–1508.

ICML-2010-ThieryS #policy #problem #trade-off

Least-Squares Policy Iteration: Bias-Variance Trade-off in Control Problems (CT, BS), pp. 1071–1078.

ICPR-2010-HurWL #estimation #invariant #learning

View Invariant Body Pose Estimation Based on Biased Manifold Learning (DH, CW, SWL), pp. 3866–3869.

ICPR-2010-SmithW #analysis

A Bias-Variance Analysis of Bootstrapped Class-Separability Weighting for Error-Correcting Output Code Ensembles (RSS, TW), pp. 61–64.

ICPR-2010-WuLW #image #learning #retrieval #using

Enhancing SVM Active Learning for Image Retrieval Using Semi-supervised Bias-Ensemble (JW, ML, CLW), pp. 3175–3178.

SIGIR-2010-ParaparLB #approach

Blog snippets: a comments-biased approach (JP, JLC, AB), pp. 711–712.

SAC-2010-LevyLMS #bias #identification #multi

Identification and control of intrinsic bias in a multiscale computational model of drug addiction (YZL, DL, JSM, HTS), pp. 2389–2393.

ICSE-2010-CalikliBA #analysis #bias #developer #education #experience

An analysis of the effects of company culture, education and experience on confirmation bias levels of software developers and testers (GÇ, ABB, BA), pp. 187–190.

DATE-2009-PaciBB #adaptation #bias #communication #effectiveness #variability

Effectiveness of adaptive supply voltage and body bias as post-silicon variability compensation techniques for full-swing and low-swing on-chip communication channels (GP, DB, LB), pp. 1404–1409.

DATE-2009-SathanurPBMM #clustering #design #variability

Physically clustered forward body biasing for variability compensation in nanometer CMOS design (AVS, AP, LB, GDM, EM), pp. 154–159.

LATA-2009-MatobaNT #bias #performance #symmetry

Efficiency of the Symmetry Bias in Grammar Acquisition (RM, MN, ST), pp. 566–577.

CHI-2009-ParkKCS #aspect-oriented #bias #multi #named

NewsCube: delivering multiple aspects of news to mitigate media bias (SP, SK, SC, JS), pp. 443–452.

ECIR-2009-TsegayPTZ #documentation #generative #performance #query

Document Compaction for Efficient Query Biased Snippet Generation (YT, SJP, AT, JZ), pp. 509–520.

SIGIR-2009-DengKL #graph #modelling #query #representation

Entropy-biased models for query representation on the click graph (HD, IK, MRL), pp. 339–346.

SIGIR-2009-WebberP #bias

Score adjustment for correction of pooling bias (WW, LAFP), pp. 444–451.

ESEC-FSE-2009-BirdBADBFD #bias #dataset #debugging

Fair and balanced?: bias in bug-fix datasets (CB, AB, EA, JD, AB, VF, PTD), pp. 121–130.

DATE-2008-BacinschiMKG #adaptation #bias

An Analog On-Chip Adaptive Body Bias Calibration for Reducing Mismatches in Transistor Pairs (PBB, TM, KK, MG), pp. 698–703.

DATE-2008-HongYBCEK #bias #runtime #scalability

Dynamic Voltage Scaling of Supply and Body Bias Exploiting Software Runtime Distribution (SH, SY, BB, KMC, SKE, TK), pp. 242–247.

SIGMOD-2008-HuangLC #generative #query #xml

Query biased snippet generation in XML search (YH, ZL, YC), pp. 315–326.

CHI-2008-HartmannAS #bias #experience #quality #user interface

Framing the user experience: information biases on website quality judgement (JH, ADA, AGS), pp. 855–864.

CIKM-2008-Sakai #bias #metric #robust

Comparing metrics across TREC and NTCIR: the robustness to system bias (TS), pp. 581–590.

SIGIR-2008-JohoHJ #documentation #summary #using

Emulating query-biased summaries using document titles (HJ, DH, JMJ), pp. 709–710.

SIGIR-2008-Sakai #bias #metric #robust

Comparing metrics across TREC and NTCIR: : the robustness to pool depth bias (TS), pp. 691–692.

ICLP-2008-MuggletonST #bias #declarative #logic programming #named #using

TopLog: ILP Using a Logic Program Declarative Bias (SM, JCAS, ATN), pp. 687–692.

ICLP-2008-Santos #bias #declarative #logic programming #named #using

TopLog: ILP Using a Logic Program Declarative Bias (JCAS), pp. 818–819.

MBT-2008-GaudelDGLOP #modelling #random

Coverage-biased Random Exploration of Models (MCG, AD, SDG, RL, JO, SP), pp. 3–14.

CHI-2007-AvrahamiFH #bias #estimation

Biases in human estimation of interruptibility: effects and implications for practice (DA, JF, SEH), pp. 50–60.

CIKM-2007-WangJZZ #learning #summary #web

Learning query-biased web page summarization (CW, FJ, LZ, HJZ), pp. 555–562.

CIKM-2007-ZhangW #algorithm #approximate #data type #performance

An efficient algorithm for approximate biased quantile computation in data streams (QZ, WW), pp. 1023–1026.

KDD-2007-SmithE #bias #classification #generative #robust

Making generative classifiers robust to selection bias (ATS, CE), pp. 657–666.

SIGIR-2007-ButtcherCYS #evaluation #information retrieval #reliability

Reliable information retrieval evaluation with incomplete and biased judgements (SB, CLAC, PCKY, IS), pp. 63–70.

SIGIR-2007-CormackL07a #bias #set

Power and bias of subset pooling strategies (GVC, TRL), pp. 837–838.

SAC-2007-AppelPSTT #clustering

Biased box sampling — a density-biased sampling for clustering (APA, AAP, EPMdS, AJMT, CTJ), pp. 445–446.

DATE-2006-HuangG06a #adaptation #compilation #embedded #power management #scalability

Power-aware compilation for embedded processors with dynamic voltage scaling and adaptive body biasing capabilities (PKH, SG), pp. 943–944.

PODS-2006-CormodeKMS #algorithm #data type

Space- and time-efficient deterministic algorithms for biased quantiles over data streams (GC, FK, SM, DS), pp. 263–272.

VLDB-2006-Aggarwal #evolution #on the

On Biased Reservoir Sampling in the Presence of Stream Evolution (CCA), pp. 607–618.

ICML-2006-KienzleC #personalisation #recognition

Personalized handwriting recognition via biased regularization (WK, KC), pp. 457–464.

ICML-2006-SinghiL #bias #classification #learning #set

Feature subset selection bias for classification learning (SKS, HL), pp. 849–856.

ICPR-v2-2006-HeLL #bias #robust #segmentation

Robust Partial Volume Segmentation with Bias Field Correction in Brain MRI (HH, BL, KL), pp. 175–178.

KDD-2006-FanD #bias #classification #framework #performance #testing

Reverse testing: an efficient framework to select amongst classifiers under sample selection bias (WF, ID), pp. 147–156.

KDD-2006-LauwLW #bias #statistics

Bias and controversy: beyond the statistical deviation (HWL, EPL, KW), pp. 625–630.

SIGIR-2006-BuckleyDSV #bias

Bias and the limits of pooling (CB, DD, IS, EMV), pp. 619–620.

OOPSLA-2006-RussellD

Eliminating synchronization-related atomic operations with biased locking and bulk rebiasing (KR, DD), pp. 263–272.

SAC-2006-KornerW #evaluation #multi

Bias-free hypothesis evaluation in multirelational domains (CK, SW), pp. 639–640.

SAC-2006-ZamolotskikhDC #bias #classification

A methodology for comparing classifiers that allow the control of bias (AZ, SJD, PC), pp. 582–587.

STOC-2005-AchlioptasCKM #bias #graph #on the

On the bias of traceroute sampling: or, power-law degree distributions in regular graphs (DA, AC, DK, CM), pp. 694–703.

CIKM-2005-KumaranJM #topic #web

Biasing web search results for topic familiarity (GK, RJ, OM), pp. 271–272.

ECIR-2005-ChaarFF #multi #summary

Filtering for Profile-Biased Multi-document Summarization (SLC, OF, CF), pp. 127–141.

ICML-2005-KhoussainovHK #classification

Ensembles of biased classifiers (RK, AH, NK), pp. 425–432.

DAC-2004-GuptaKSS #effectiveness #runtime

Selective gate-length biasing for cost-effective runtime leakage control (PG, ABK, PS, DS), pp. 327–330.

DATE-v1-2004-ChenG #adaptation #bias #low cost #performance #power management #reduction

A Low Cost Individual-Well Adaptive Body Bias (IWABB) Scheme for Leakage Power Reduction and Performance Enhancement in the Presence of Intra-Die Variations (TWC, JG), pp. 240–245.

ICEIS-v2-2004-CastilhoPL #clustering #information management #process

Informed K-Means: A Clustering Process biased by Prior Knowledge (WFC, HAdP, ML), pp. 469–475.

ECIR-2004-XueS #categorisation #reduction

Eliminating High-Degree Biased Character Bigrams for Dimensionality Reduction in Chinese Text Categorization (XD, MS), pp. 197–208.

ICML-2004-MannorSST #bias #estimation

Bias and variance in value function estimation (SM, DS, PS, JNT).

ICML-2004-Zadrozny #bias #classification #learning

Learning and evaluating classifiers under sample selection bias (BZ).

ICPR-v2-2004-NockP #bias #estimation

Grouping with Bias for Distribution-Free Mixture Model Estimation (RN, VP), pp. 44–47.

SIGIR-2004-AzzopardiGR #documentation #modelling

User biased document language modelling (LA, MG, CJvR), pp. 542–543.

SIGIR-2004-PlachourasO #topic

Usefulness of hyperlink structure for query-biased topic distillation (VP, IO), pp. 448–455.

DAC-2003-ManeatisKMMS #generative #multi #self

Self-biased high-bandwidth low-jitter 1-to-4096 multiplier clock generator PLL (JGM, JK, IM, JM, MS), pp. 688–690.

STOC-2003-Ben-SassonSVW #testing

Randomness-efficient low degree tests and short PCPs via epsilon-biased sets (EBS, MS, SPV, AW), pp. 612–621.

ICML-2003-JensenNH #bias #relational

Avoiding Bias when Aggregating Relational Data with Degree Disparity (DJ, JN, MH), pp. 274–281.

ICML-2003-ValentiniD #bias

Low Bias Bagged Support Vector Machines (GV, TGD), pp. 752–759.

STOC-2002-DinurS

The importance of being biased (ID, SS), pp. 33–42.

CIKM-2002-LiuYC #bias #classification #induction

Boosting to correct inductive bias in text classification (YL, YY, JGC), pp. 348–355.

CIKM-2002-NanopoulosMT #algorithm #effectiveness #performance

An efficient and effective algorithm for density biased sampling (AN, YM, YT), pp. 398–404.

ICML-2002-JensenN #bias #feature model #learning #relational

Linkage and Autocorrelation Cause Feature Selection Bias in Relational Learning (DJ, JN), pp. 259–266.

SAC-2002-SweeneyCT #mobile #summary #using

Mobile delivery of news using hierarchical query-biased summaries (SOS, FC, AT), pp. 634–639.

DATE-2001-CabodiCQ #process

Biasing symbolic search by means of dynamic activity profiles (GC, PC, SQ), pp. 9–15.

DATE-2001-YildizSV #bias #float #integer #linear #programming

Minimizing the number of floating bias voltage sources with integer linear programming (EY, AvS, CJMV), p. 816.

STOC-2001-ErgunSSS #performance

Biased dictionaries with fast insert/deletes (FE, SCS, JS, RKS), pp. 483–491.

ICML-2001-DobraG #bias #classification

Bias Correction in Classification Tree Construction (AD, JG), pp. 90–97.

SAC-2001-JulstromR #algorithm #graph #problem

Weight-biased edge-crossover in evolutionary algorithms for wto graph problems (BAJ, GRR), pp. 321–326.

SIGMOD-2000-PalmerF #clustering #data mining #mining

Density Biased Sampling: An Improved Method for Data Mining and Clustering (CRP, CF), pp. 82–92.

ICML-2000-Domingos00a #composition

A Unifeid Bias-Variance Decomposition and its Applications (PMD), pp. 231–238.

ICML-2000-VilaltaO #bias #classification #distance #evaluation #metric #quantifier

A Quantification of Distance Bias Between Evaluation Metrics In Classification (RV, DO), pp. 1087–1094.

ICPR-v2-2000-HansenH #bias #composition #exponential #fault #independence #product line

General Bias/Variance Decomposition with Target Independent Variance of Error Functions Derived from the Exponential Family of Distributions (JVH, TH), pp. 2207–2210.

ICPR-v2-2000-Schulerud #analysis #bias #fault #feature model #linear

Bias of Error Rates in Linear Discriminant Analysis Caused by Feature Selection and Sample Size (HS), pp. 2372–2377.

ICPR-v3-2000-MateiM #bias #reduction

Reduction of Bias in Maximum Likelihood Ellipse Fitting (BM, PM), pp. 3802–3806.

ICPR-v3-2000-ToczyskiP #bias #estimation #geometry #linear #process

Complementary Linear Biases in Spatial Derivative Estimation for Improving Geometry-Driven Diffusion Processes (WDT, NP), pp. 3001–3006.

KDD-2000-FeldmanLRSS #approximate #bias #framework #information management #specification

A framework for specifying explicit bias for revision of approximate information extraction rules (RF, YL, BR, YS, JS), pp. 189–197.

DATE-1999-VerhoevenS #feedback

Systematic Biasing of Negative Feedback Amplifiers (CJMV, AvS), pp. 318–322.

HCI-EI-1999-Suthers #bias #collaboration

The Effects of Representational Bias on Collaborative Inquiry (DDS), pp. 362–366.

SIGIR-1999-LimaP #query #recognition

Phrase Recognition and Expansion for Short, Precision-Biased Queries Based on a Query Log (EFdL, JOP), pp. 145–152.

KDD-1998-FeeldersCM #bias #mining

Mining in the Presence of Selectivity Bias and its Application to Reject Inference (AJF, SC, GJM), pp. 199–203.

SIGIR-1998-TombrosS #information retrieval #query #summary

Advantages of Query Biased Summaries in Information Retrieval (AT, MS), pp. 2–10.

HCI-SEC-1997-LowryHK #bias #evolution #heuristic #human-computer #interface #robust

Heuristics and Biases in the Evolution of a Robust Human-Machine Interface Methodology (JCL, PEVH, SZK), pp. 323–326.

ICML-1997-TodorovskiD #bias #declarative #equation

Declarative Bias in Equation Discovery (LT, SD), pp. 376–384.

CAiSE-1996-SiauWB #bias #modelling

When Parents Need Not Have Children — Cognitive Biases in Information Modeling (KS, YW, IB), pp. 402–420.

ICML-1996-KahaviW #bias #composition

Bias Plus Variance Decomposition for Zero-One Loss Functions (RK, DW), pp. 275–283.

ICML-1996-Sebag #approach #bias

Delaying the Choice of Bias: A Disjunctive Version Space Approach (MS), pp. 444–452.

ICPR-1996-Chen #detection #parallel

The use of hidden deletable pixel detection to obtain bias-reduced skeletons in parallel thinning (YSC), pp. 91–95.

KDD-1996-Feelders #learning #modelling #using

Learning from Biased Data Using Mixture Models (AJF), pp. 102–107.

ICML-1995-BrunkP #bias #semantics

A Lexical Based Semantic Bias for Theory Revision (CB, MJP), pp. 81–89.

ICML-1995-KongD #bias

Error-Correcting Output Coding Corrects Bias and Variance (EBK, TGD), pp. 313–321.

ICML-1994-Pereira #bias #machine learning #natural language #problem

Frequencies vs. Biases: Machine Learning Problems in Natural Language Processing — Abstract (FCNP), p. 380.

KDD-1994-ZuckerCTR #bias #induction #named

DICE: A Discovery Environment Integrating Inductive Bias (JDZ, VC, JT, GR), pp. 275–286.

ICDAR-1993-TakeshitaNK #bias #distance #on the

On the bias of Mahalanobis distance due to limited sample size effect (TT, SN, FK), pp. 171–174.

STOC-1993-BoppanaN #problem

The biased coin problem (RBB, BON), pp. 252–257.

ICML-1993-Caruana #bias #induction #knowledge-based #learning #multi

Multitask Learning: A Knowledge-Based Source of Inductive Bias (RC), pp. 41–48.

ICML-1993-Tadepalli #bias #learning #query

Learning from Queries and Examples with Tree-structured Bias (PT), pp. 322–329.

STOC-1992-AzarBKLP #random

Biased Random Walks (YA, AZB, ARK, NL, SP), pp. 1–9.

ML-1991-desJardins #bias #learning #probability

Probabilistic Evaluating of Bias for Learning Systems (Md), pp. 495–499.

ML-1991-MartinB #bias #learning #variability

Variability Bias and Category Learning (JDM, DB), pp. 90–94.

STOC-1990-NaorN #performance #probability

Small-bias Probability Spaces: Efficient Constructions and Applications (JN, MN), pp. 213–223.

ML-1989-CaruanaSE #algorithm #bias #induction #multi #search-based #using

Using Multiple Representations to Improve Inductive Bias: Gray and Binary Coding for Genetic Algorithms (RC, JDS, LJE), pp. 375–378.

ML-1989-Chrisman #bias

Evaluating Bias During Pac-Learning (LC), pp. 469–471.

ML-1989-Danyluk #bias #induction #information management

Finding New Rules for Incomplete Theories: Explicit Biases for Induction with Contextual Information (APD), pp. 34–36.

ML-1989-Gordon #bias

Screening Hypotheses with Explicit Bias (DFG), pp. 499–500.

ML-1989-GrosofR #bias #declarative

Declarative Bias for Structural Domains (BNG, SJR), pp. 480–482.

ML-1989-Marie #bias #dependence #learning

Building A Learning Bias from Perceived Dependencies (CdSM), pp. 501–502.

ML-1989-Tallis #bias

Overcoming Feature Space Bias in a Reactive Environment (HT), pp. 505–508.

DAC-1988-Cai88a #layout

Connectivity Biased Channel Construction and Ordering for Building-Block Layout (HC), pp. 560–565.

ML-1988-CaruanaS #algorithm #bias #representation #search-based

Representation and Hidden Bias: Gray vs. Binary Coding for Genetic Algorithms (RC, JDS), pp. 153–161.

SLP-1984-ShapiroM84 #concurrent #implementation #prolog #self #specification

Fair, Biased, and Self-Balancing Merge Operators: Their Specification and Implementation in Concurrent Prolog (EYS, CM), pp. 83–90.