Stem gain$ (all stems)

61 papers:

CASE-2015-FariaHGL #robust

Extended high-gain observer for robust position control of a micro-gripper in air and vacuum (MGdF, YH, YLG, PL), pp. 1626–1631.

VLDB-2015-ArocenaCGM #integration

Gain Control over your Integration Evaluations (PCA, RC, BG, RJM), pp. 1960–1971.

TACAS-2015-BrazdilCFK #multi #named #synthesis

MultiGain: A Controller Synthesis Tool for MDPs with Multiple Mean-Payoff Objectives (TB, KC, VF, AK), pp. 181–187.

CSCW-2015-DantecF #research

Strangers at the Gate: Gaining Access, Building Rapport, and Co-Constructing Community-Based Research (CALD, SF), pp. 1348–1358.

ECIR-2015-UrbanoM #correlation #definite clause grammar #how #question #user satisfaction

How Do Gain and Discount Functions Affect the Correlation between DCG and User Satisfaction? (JU, MM), pp. 197–202.

SAC-2015-QueirozH #capacity

Translating full duplexity into capacity gains for the high-priority traffic classes of IEEE 802.11 (SQ, RH), pp. 634–639.

ICSE-v1-2015-WinterSNSC #fault #injection #parallel

No PAIN, No Gain? The Utility of PArallel Fault INjections (SW, OS, RN, NS, DC), pp. 494–505.

DATE-2014-WanK #embedded

An embedded offset and gain instrument for OpAmp IPs (JW, HGK), pp. 1–4.

CHI-2014-OKaneRB #mobile

Gaining empathy for non-routine mobile device use through autoethnography (AAO, YR, AEB), pp. 987–990.

DAC-2013-AvinashBEPP #energy #fault #hardware

Improving energy gains of inexact DSP hardware through reciprocative error compensation (LA, AB, CCE, KVP, CP), p. 8.

CHI-2013-DoornSG #design #experience #research #user interface #using

Design research by proxy: using children as researchers to gain contextual knowledge about user experience (FvD, PJS, MG), pp. 2883–2892.

ECIR-2013-MetrikovPA #consistency #nondeterminism #optimisation

Optimizing nDCG Gains by Minimizing Effect of Label Inconsistency (PM, VP, JAA), pp. 760–763.

RecSys-2013-KucharK #case study #learning #named #web #web service

GAIN: web service for user tracking and preference learning — a smart TV use case (JK, TK), pp. 467–468.

CHI-2012-CockburnQGF #documentation

Improving scrolling devices with document length dependent gain (AC, PQ, CG, SF), pp. 267–276.

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.

ICML-2012-Nowozin #induction

Improved Information Gain Estimates for Decision Tree Induction (SN), p. 77.

ITiCSE-2011-EllisHM #comparison #re-engineering #student

A comparison of software engineering knowledge gained from student participation in humanitarian foss projects (HJCE, GWH, RAM), p. 360.

CIAA-2011-HolzerK #automaton #finite

Gaining Power by Input Operations: Finite Automata and Beyond (MH, MK), pp. 16–29.

OCSC-2011-BramanDCVW #student

Gaining Insight into the Application of Second Life in a Computing Course: Students’ Perspectives (JB, AD, KC, GV, YW), pp. 20–29.

MLDM-2011-Grabczewski

Separability of Split Value Criterion with Weighted Separation Gains (KG), pp. 88–98.

CASE-2010-PaullGLM #adaptation #using

An information gain based adaptive path planning method for an autonomous underwater vehicle using sidescan sonar (LP, SSG, HL, VM), pp. 835–840.

MSR-2010-JuzgadoV #difference #re-engineering #using

Using differences among replications of software engineering experiments to gain knowledge (NJJ, SV).

ICEIS-AIDSS-2010-AdamLDB #clustering #parallel #performance #using

Performance Gain for Clustering with Growing Neural Gas using Parallelization Methods (AA, SL, SD, WB), pp. 264–269.

CHI-2009-WobbrockFLKH

The angle mouse: target-agnostic dynamic gain adjustment based on angular deviation (JOW, JF, SY(L, SK, SH), pp. 1401–1410.

CIKM-2009-KanoulasA #empirical

Empirical justification of the gain and discount function for nDCG (EK, JAA), pp. 611–620.

ICML-2009-BusettoOB

Optimized expected information gain for nonlinear dynamical systems (AGB, CSO, JMB), pp. 97–104.

ICML-2009-VolkovsZ #learning #named #ranking

BoltzRank: learning to maximize expected ranking gain (MV, RSZ), pp. 1089–1096.

SIGIR-2009-CambazogluPB #distributed #performance #quality #web

Quantifying performance and quality gains in distributed web search engines (BBC, VP, RABY), pp. 411–418.

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

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

CHI-2008-CasiezV

The effect of spring stiffness and control gain with an elastic rate control pointing device (GC, DV), pp. 1709–1718.

CHI-2008-PererS #case study #data analysis #statistics #visualisation

Integrating statistics and visualization: case studies of gaining clarity during exploratory data analysis (AP, BS), pp. 265–274.

CHI-2008-TsengH #adaptation #visual notation

The adaptation of visual search strategy to expected information gain (YCT, AH), pp. 1075–1084.

ECIR-2008-JarvelinPDN #evaluation #information retrieval #multi

Discounted Cumulated Gain Based Evaluation of Multiple-Query IR Sessions (KJ, SLP, LMLD, MLN), pp. 4–15.

HPCA-2008-LinLDZZS #clustering #manycore #simulation

Gaining insights into multicore cache partitioning: Bridging the gap between simulation and real systems (JL, QL, XD, ZZ, XZ, PS), pp. 367–378.

SEKE-2007-AlencarRSF #classification #modelling #probability #project management

Combining Decorated Classification Trees with RCPS Stochastic Models to Gain New Valuable Insights into Software Project Management (AJA, GGR, EAS, ALF), pp. 151–156.

CC-2007-BatchelderH #java #obfuscation

Obfuscating Java: The Most Pain for the Least Gain (MB, LJH), pp. 96–110.

DAC-2006-SinghMPO #nondeterminism #runtime

Gain-based technology mapping for minimum runtime leakage under input vector uncertainty (AKS, MM, RP, MO), pp. 522–527.

IWPC-2005-RevelleBC #case study #comprehension

Understanding Concerns in Software: Insights Gained from Two Case Studies (MR, TB, DC), pp. 23–32.

SIGIR-2005-VriesR #question

Relevance information: a loss of entropy but a gain for IDF? (APdV, TR), pp. 282–289.

DATE-v1-2004-GinesPR #fault #pipes and filters

Digital Background Gain Error Correction in Pipeline ADCs (AJG, EJP, AR), pp. 82–87.

ICGT-2004-EhrenfeuchtHHR

Embedding in Switching Classes with Skew Gains (AE, JH, TH, GR), pp. 257–270.

DAC-2003-HuWKM #library

Gain-based technology mapping for discrete-size cell libraries (BH, YW, AK, MMS), pp. 574–579.

DATE-2003-EberleVWDGM #automation #behaviour #modelling #simulation

Behavioral Modeling and Simulation of a Mixed Analog/Digital Automatic Gain Control Loop in a 5 GHz WLAN Receiver (WE, GV, PW, SD, GGEG, HDM), pp. 10642–10649.

CHI-2003-JackoSSBEEKMZ #feedback #multimodal #performance #question #visual notation #what

Older adults and visual impairment: what do exposure times and accuracy tell us about performance gains associated with multimodal feedback? (JAJ, IUS, FS, LB, PJE, VKE, TK, KPM, BSZ), pp. 33–40.

SIGIR-2003-Sakai #evaluation #multi #performance #retrieval

Average gain ratio: a simple retrieval performance measure for evaluation with multiple relevance levels (TS), pp. 417–418.

SAC-2003-KaramHGR #evaluation #image #retrieval #using

Enhancement of Wavelet-Based Medical Image Retrieval Through Feature Evaluation Using an Information Gain Measure (OHK, AMH, SG, SR), pp. 220–226.

ICML-2002-TakechiS #induction

Finding an Optimal Gain-Ratio Subset-Split Test for a Set-Valued Attribute in Decision Tree Induction (FT, ES), pp. 618–625.

ICPR-v3-2002-GarciaFRF #image #performance #predict

Performance of the Kullback-Leibler Information Gain for Predicting Image Fidelity (JAG, JFV, RRS, XRFV), pp. 843–848.

SIGIR-2002-CarmelFPS #automation #information management #query #refinement #using

Automatic query refinement using lexical affinities with maximal information gain (DC, EF, YP, AS), pp. 283–290.

KDD-2001-CarageaCH #classification #using

Gaining insights into support vector machine pattern classifiers using projection-based tour methods (DC, DC, VH), pp. 251–256.

DATE-1999-LechnerFRH #automation #performance #self

A Digital Partial Built-In Self-Test for a High Performance Automatic Gain Control Circuit (AL, JF, AR, BH), pp. 232–238.

KDD-1999-BrinRS #mining

Mining Optimized Gain Rules for Numeric Attributes (SB, RR, KS), pp. 135–144.

EDTC-1997-LuS

A CMOS low-voltage, high-gain op-amp (GNL, GS), pp. 51–55.

ICFP-1997-Lassila #code generation #confluence #context-sensitive grammar #functional #metaprogramming #optimisation

A Functional Macro Expansion System for Optimizing Code Generation: Gaining Context-Sensitivity without Losing Confluence (EL), p. 315.

SAC-1996-MisirMC #approach #fuzzy #heuristic

A heuristic approach to determine the gains of a fuzzy PID controller (DM, HAM, GC), pp. 609–613.

RTA-1996-HillenbrandBF #on the #performance #proving #theorem proving

On Gaining Efficiency in Completion-Based Theorem Proving (TH, AB, RF), pp. 432–435.

TRI-Ada-C-1992-ArbaughG #development #experience #process

A Modern Development Process: Experience Gained from Topaz Project (RA, MG), pp. 240–248.

HPDC-1992-GrimshawWP #biology #case study #experience

No Pain and Gain — Experiences with Mentat on a Biological Application (ASG, EAW, WRP), pp. 57–66.

SIGMOD-1991-NgFS #flexibility

Flexible Buffer Allocation Based on Marginal Gains (RTN, CF, TKS), pp. 387–396.

SIGIR-1983-Rijsbergen

A Discrimination Gain Hypothesis (CJvR), pp. 101–104.