Stem confid$ (all stems)

98 papers:

DAC-2015-FernandezJAQVC #bound #realtime

Increasing confidence on measurement-based contention bounds for real-time round-robin buses (GF, JJ, JA, EQ, TV, FJC), p. 6.

SANER-2015-LeL #metric #mining #rule-based #specification

Beyond support and confidence: Exploring interestingness measures for rule-based specification mining (TDBL, DL), pp. 331–340.

ECIR-2015-HagenPBS #classification #detection #sentiment #twitter #using

Twitter Sentiment Detection via Ensemble Classification Using Averaged Confidence Scores (MH, MP, MB, BS), pp. 741–754.

ICML-2015-SerrurierP #evaluation #learning

Entropy evaluation based on confidence intervals of frequency estimates : Application to the learning of decision trees (MS, HP), pp. 1576–1584.

ICML-2015-ThomasTG #policy

High Confidence Policy Improvement (PST, GT, MG), pp. 2380–2388.

SIGIR-2015-PanYLNM #scalability #semantics #visual notation

Semi-supervised Hashing with Semantic Confidence for Large Scale Visual Search (YP, TY, HL, CWN, TM), pp. 53–62.

ASE-2014-CohenM

The confidence in our k-tails (HC, SM), pp. 605–610.

VLDB-2015-LiLGSZDFH14 #approach

A Confidence-Aware Approach for Truth Discovery on Long-Tail Data (QL, YL, JG, LS, BZ, MD, WF, JH), pp. 425–436.

ICSME-2014-PonzanelliBPOL #named #recommendation #self

Prompter: A Self-Confident Recommender System (LP, GB, MDP, RO, ML), pp. 577–580.

MSR-2014-PonzanelliBPOL #ide #mining #programming #self #stack overflow

Mining StackOverflow to turn the IDE into a self-confident programming prompter (LP, GB, MDP, RO, ML), pp. 102–111.

CHI-2014-FerreiraFK #visualisation

Sample-oriented task-driven visualizations: allowing users to make better, more confident decisions (NF, DF, ACK), pp. 571–580.

CSCW-2014-PriedhorskyCV #twitter

Inferring the origin locations of tweets with quantitative confidence (RP, AC, SYDV), pp. 1523–1536.

DUXU-TMT-2014-JoyceK #development #internet #self

Measuring Confidence in Internet Use: The Development of an Internet Self-efficacy Scale (MJ, JK), pp. 250–260.

ICML-c2-2014-ZoghiWMR #bound #problem

Relative Upper Confidence Bound for the K-Armed Dueling Bandit Problem (MZ, SW, RM, MdR), pp. 10–18.

ICPR-2014-LiWQXG #analysis #estimation

Confidence Estimation and Reputation Analysis in Aspect Extraction (YL, HW, ZQ, WX, JG), pp. 3612–3617.

ICPR-2014-SaygiliMH #metric #similarity #using

Stereo Similarity Metric Fusion Using Stereo Confidence (GS, LvdM, EAH), pp. 2161–2166.

KEOD-2014-TakahashiTTL #automation #industrial #standard #web

An Automatic Coding System with a Three-Grade Confidence Level Corresponding to the National/International Occupation and Industry Standard — Open to the Public on the Web (KT, HT, ST, WL), pp. 369–375.

PLDI-2013-BlackshearL #composition #framework #semantics #specification

Almost-correct specifications: a modular semantic framework for assigning confidence to warnings (SB, SKL), pp. 209–218.

DUXU-NTE-2013-CombeHD #design #people #self #usability

Designing Technology for Older People — The Role of Technical Self-confidence in Usability of an Inclusive Heating Control (NC, DH, HD), pp. 49–56.

HILT-2013-Goodenough #behaviour

Building confidence in system behavior (JBG), pp. 49–50.

ECIR-2013-Cleger-TamayoFHT #predict #quality #recommendation

Being Confident about the Quality of the Predictions in Recommender Systems (SCT, JMFL, JFH, NT), pp. 411–422.

KDD-2013-JoglekarGP

Evaluating the crowd with confidence (MJ, HGM, AGP), pp. 686–694.

MLDM-2013-AllahSG #algorithm #array #dataset #mining #performance #scalability

An Efficient and Scalable Algorithm for Mining Maximal — High Confidence Rules from Microarray Dataset (WZAA, YKES, FFMG), pp. 352–366.

ICSE-2013-GoodenoughWK #induction

Eliminative induction: a basis for arguing system confidence (JBG, CBW, AZK), pp. 1161–1164.

CSCW-2012-CollierB #empirical #gender #wiki

Conflict, criticism, or confidence: an empirical examination of the gender gap in wikipedia contributions (BC, JB), pp. 383–392.

ICML-2012-HoiWZ #learning

Exact Soft Confidence-Weighted Learning (SCHH, JW, PZ), p. 19.

ICPR-2012-WangL12b #learning #recognition #string

String-level learning of confidence transformation for Chinese handwritten text recognition (DHW, CLL), pp. 3208–3211.

ICPR-2012-YamasakiC #classification #recognition #refinement

Confidence-assisted classification result refinement for object recognition featuring TopN-Exemplar-SVM (TY, TC), pp. 1783–1786.

ICPR-2012-YangGAZW #classification #clustering #query

Iterative clustering and support vectors-based high-confidence query selection for motor imagery EEG signals classification (HY, CG, KKA, HZ, CW), pp. 2169–2172.

ICPR-2012-ZhangWL #documentation #keyword #online

A confidence-based method for keyword spotting in online Chinese handwritten documents (HZ, DHW, CLL), pp. 525–528.

KEOD-2012-WohlgenanntWSS #learning #ontology #web

Confidence Management for Learning Ontologies from Dynamic Web Sources (GW, AW, AS, MS), pp. 172–177.

SIGIR-2012-FangHC #graph

Confidence-aware graph regularization with heterogeneous pairwise features (YF, BJPH, KCCC), pp. 951–960.

SIGIR-2012-HuO #classification #dataset #using

Genre classification for million song dataset using confidence-based classifiers combination (YH, MO), pp. 1083–1084.

SAC-2012-NogueiraJR #clustering

Hierarchical confidence-based active clustering (BMN, AMJ, SOR), pp. 216–219.

CASE-2011-GaoLZZWQ

Fire evacuation model with confidence intervals (YG, PBL, QZ, HZ, NW, LQ), pp. 731–736.

DATE-2011-ChenKZBSNS

A confidence-driven model for error-resilient computing (CHC, YK, ZZ, DB, DS, HN, SS), pp. 1608–1613.

ICDAR-2011-WangYL #recognition

Improving Handwritten Chinese Text Recognition by Confidence Transformation (QFW, FY, CLL), pp. 518–522.

KDIR-2011-LencK #automation #recognition

Confidence Measure for Automatic Face Recognition (LL, PK), pp. 365–368.

HPCA-2011-Seznec #branch #estimation #predict

Storage free confidence estimation for the TAGE branch predictor (AS), pp. 443–454.

ICPR-2010-KrajewskiBK #case study #classification #detection #multi #self #speech

Comparing Multiple Classifiers for Speech-Based Detection of Self-Confidence — A Pilot Study (JK, AB, SK), pp. 3716–3719.

ICPR-2010-MakiharaHY #how #question

How to Control Acceptance Threshold for Biometric Signatures with Different Confidence Values? (YM, MAH, YY), pp. 1208–1211.

ICPR-2010-StrucDP #recognition #robust

Confidence Weighted Subspace Projection Techniques for Robust Face Recognition in the Presence of Partial Occlusions (VS, SD, NP), pp. 1334–1338.

KDD-2010-Lee #classification #learning

Learning to combine discriminative classifiers: confidence based (CHL), pp. 743–752.

KDIR-2010-BalcazarTZ

Filtering Association Rules with Negations on the Basis of Their Confidence Boost (JLB, CT, MEZ), pp. 263–268.

DATE-2009-LeveugleCMV #fault #injection #quantifier #statistics

Statistical fault injection: Quantified error and confidence (RL, AC, PM, PV), pp. 502–506.

ICDAR-2009-DreuwHN #adaptation #recognition

Confidence-Based Discriminative Training for Model Adaptation in Offline Arabic Handwriting Recognition (PD, GH, HN), pp. 596–600.

SIGMOD-2009-CormodeGKMSZ #dependence #functional

Estimating the confidence of conditional functional dependencies (GC, LG, FK, AM, DS, XZ), pp. 469–482.

SIGMOD-2009-OlteanuH #query

Secondary-storage confidence computation for conjunctive queries with inequalities (DO, JH), pp. 389–402.

HIMI-II-2009-LigdaJLJ #automation #distributed #tool support #using

Pilot Confidence with ATC Automation Using Cockpit Situation Display Tools in a Distributed Traffic Management Environment (SVL, NHJ, JL, WWJ), pp. 816–825.

MLDM-2009-DashevskiyL #predict

Predictions with Confidence in Applications (MD, ZL), pp. 775–786.

SIGIR-2009-ZhangACEH

Improving user confidence in cultural heritage aggregated results (JZ, AA, HSMC, VE, LH), pp. 702–703.

SAC-2009-Xie #predict

Improved AdaBoost.M1 of decision trees with confidence-rated predictions (ZX), pp. 1462–1466.

ICSM-2008-LiH #random testing #testing #using

Using random test selection to gain confidence in modified software (WL, MJH), pp. 267–276.

FM-2008-LintelmanRLS #formal method #security

Formal Methods for Trustworthy Skies: Building Confidence in the Security of Aircraft Assets Distribution (SL, RR, ML, KS), pp. 406–410.

CHI-2008-VertanenK #on the #recognition #speech #visualisation

On the benefits of confidence visualization in speech recognition (KV, POK), pp. 1497–1500.

AdaEurope-2008-Pettit #analysis #architecture #concurrent

Increasing Confidence in Concurrent Software through Architectural Analysis (RGPI), pp. 199–210.

ICML-2008-DredzeCP #classification #linear

Confidence-weighted linear classification (MD, KC, FP), pp. 264–271.

ICPR-2008-Gherardi

Confidence-based cost modulation for stereo matching (RG), pp. 1–4.

ICPR-2008-OrtegaGJV #modelling

Background modelling in demanding situations with confidence measure (JARO, GAG, ÁRJ, VLAV), pp. 1–4.

ICPR-2008-ZaidiS #algorithm #detection

Confidence rated boosting algorithm for generic object detection (NAZ, DS), pp. 1–4.

HPCA-2008-MalikADF #named #predict

PaCo: Probability-based path confidence prediction (KM, MA, VD, MIF), pp. 50–61.

DAC-2007-LiuS #predict #process #scalability #statistics

Confidence Scalable Post-Silicon Statistical Delay Prediction under Process Variations (QL, SSS), pp. 497–502.

HCI-MIE-2007-ZhongCZL #adaptation #identification #incremental #online

Confidence Measure Based Incremental Adaptation for Online Language Identification (SZ, YC, CZ, JL), pp. 535–543.

HIMI-MTT-2007-IizukaK #communication #design

Design for Confident Communication of Information in Public Spaces (SI, YK), pp. 51–58.

ICML-2007-BryanMSS

Efficiently computing minimax expected-size confidence regions (BB, HBM, CMS, JGS), pp. 97–104.

MLDM-2007-VanderlooyMS #empirical #evaluation #learning

Off-Line Learning with Transductive Confidence Machines: An Empirical Evaluation (SV, LvdM, IGSK), pp. 310–323.

ITiCSE-2006-ByrnesHMPZ

Technological confidence at an early age (JB, TH, TM, LP, ZZ), p. 365.

CSMR-2006-MarchantTT #case study #industrial #legacy #metric #requirements

A Metric of Confidence in Requirements Gathered from Legacy Systems: Two Industrial Case Studies (JM, CT, MT), pp. 355–361.

PLDI-2006-ZhangGG #dynamic analysis #slicing

Pruning dynamic slices with confidence (XZ, NG, RG), pp. 169–180.

CIKM-2006-KadriN #estimation #information retrieval #query

Improving query translation with confidence estimation for cross language information retrieval (YK, JYN), pp. 818–819.

ICPR-v2-2006-IlonenPKK #classification

Gaussian mixture pdf in one-class classification: computing and utilizing confidence values (JI, PP, JKK, HK), pp. 577–580.

ICPR-v2-2006-Ren #algorithm

A Pattern Selection Algorithm Based on the Generalized Confidence (JR), pp. 824–827.

KDD-2006-ZhangHL #mining

Mining progressive confident rules (MZ, WH, MLL), pp. 803–808.

MBT-2006-CallananGRSTZ #approach #monte carlo #runtime #verification

Runtime Verification for High-Confidence Systems: A Monte Carlo Approach (SC, RG, AR, SAS, MRT, EZ), pp. 41–52.

SIGMOD-2005-PolJ #bound #relational

Relational Confidence Bounds Are Easy With The Bootstrap (AP, CJ), pp. 587–598.

ICML-2005-MacskassyPR #empirical #evaluation

ROC confidence bands: an empirical evaluation (SAM, FJP, SR), pp. 537–544.

ICML-2004-JanodetNSS #grammar inference

Boosting grammatical inference with confidence oracles (JCJ, RN, MS, HMS).

ICPR-v1-2004-LiS #classification #design

SVM-Based Classifier Design with Controlled Confidence (ML, IKS), pp. 164–167.

ICPR-v1-2004-YoshimotoDAT #architecture #performance #realtime

Confidence-Driven Architecture for Real-time Vision Processing and Its Application to Efficient Vision-Based Human Motion Sensing (HY, ND, DA, RiT), pp. 736–740.

ICPR-v3-2004-BolleRP #estimation #evaluation #fault

An Evaluation of Error Confidence Interval Estimation Methods (RMB, NKR, SP), pp. 103–106.

HPCA-2004-AkkarySKPR #branch #estimation

Perceptron-Based Branch Confidence Estimation (HA, STS, RK, YP, WR), pp. 265–275.

ICDAR-2003-BrakensiekRR #metric

Confidence Measures for an Address Reading System (AB, JR, GR), pp. 294–298.

ICDAR-2003-HaoLS #classification #evaluation

Confidence Evaluation for Combining Diverse Classifiers (HH, CLL, HS), pp. 760–764.

ICDAR-2003-PitrelliP #recognition #verification

Confidence-Scoring Post-Processing for Off-Line Handwritten-Character Recognition Verification (JFP, MPP), p. 278–?.

SEKE-2003-YanZZ #independence

A Database-Independent Strategy for Confidence Determination (XY, CZ, SZ), pp. 621–625.

SAC-2003-HuangXSP #mining

Mining Confident Colocation Rules without A Support Threshold (YH, HX, SS, JP), pp. 497–501.

ICPR-v1-2002-ArlandisPC #classification #metric

Rejection Strategies and Confidence Measures for a k- NN Classifier in an OCR Task (JA, JCPC, JCP), pp. 576–579.

ICPR-v3-2002-FengH #performance

Confidence Guided Progressive Search and Fast Match Techniques for High Performance Chinese/English OCR (ZDF, QH), pp. 89–92.

CIKM-2001-WangHCC #mining

Mining Confident Rules Without Support Requirement (KW, YH, DWLC, FYLC), pp. 89–96.

ICML-2001-Codrington

Boosting with Confidence Information (CWC), pp. 59–65.

ICML-2001-NouretdinovMV

Ridge Regression Confidence Machine (IN, TM, VV), pp. 385–392.

ESEC-FSE-2001-JagannathanS #component #implementation

Increasing client-side confidence in remote component implementations (RJ, PAGS), pp. 52–61.

ICDAR-1999-AtukoraleS #classification

Combining Classifiers based on Confidence Values (ASA, PNS), pp. 37–40.

ICPR-1998-AhrnsN #realtime #similarity #using

Real-time monocular fixation control using the log-polar transformation and a confidence-based similarity measure (IA, HN), pp. 310–315.

ICDAR-1997-BenedettiK

Confidence computation improvement in an optical field reading system (AB, ZMKV), pp. 836–841.

ICDAR-1997-EigenmannN #evaluation #multi #network

Modification of Hard-Limiting Multilayer Neural Networks for Confidence Evaluation (RE, JAN), pp. 1087–1091.

KDD-1997-Bayardo #classification #mining

Brute-Force Mining of High-Confidence Classification Rules (RJBJ), pp. 123–126.

ISSTA-1994-HowdenH #dependence #metric

Confidence Oriented Software Dependability Measurement (Abstract) (WEH, YH), p. 196.