Stem pairwis$ (all stems)

84 papers:

HT-2015-BledaiteR #collaboration #elicitation

Pairwise Preferences Elicitation and Exploitation for Conversational Collaborative Filtering (LB, FR), pp. 231–236.

VLDB-2015-QianGJ #adaptation #comparison #learning

Learning User Preferences By Adaptive Pairwise Comparison (LQ, JG, HVJ), pp. 1322–1333.

STOC-2015-BarakCK #bound #independence

Sum of Squares Lower Bounds from Pairwise Independence (BB, SOC, PKK), pp. 97–106.

ICML-2015-ChenS #rank

Spectral MLE: Top-K Rank Aggregation from Pairwise Comparisons (YC, CS), pp. 371–380.

ICML-2015-ParkNZSD #collaboration #ranking #scalability

Preference Completion: Large-scale Collaborative Ranking from Pairwise Comparisons (DP, JN, JZ, SS, ISD), pp. 1907–1916.

ICML-2015-RajkumarGL0 #probability #ranking #set

Ranking from Stochastic Pairwise Preferences: Recovering Condorcet Winners and Tournament Solution Sets at the Top (AR, SG, LHL, SA), pp. 665–673.

SAC-2015-GomesBE #classification #data type #learning

Pairwise combination of classifiers for ensemble learning on data streams (HMG, JPB, FE), pp. 941–946.

STOC-2014-SharmaV #multi

Multiway cut, pairwise realizable distributions, and descending thresholds (AS, JV), pp. 724–733.

CIAA-2014-Roche-LimaDF #automaton #kernel

Pairwise Rational Kernels Obtained by Automaton Operations (ARL, MD, BF), pp. 332–345.

CIKM-2014-ZhongPXYM #adaptation #collaboration #learning #recommendation

Adaptive Pairwise Preference Learning for Collaborative Recommendation with Implicit Feedbacks (HZ, WP, CX, ZY, ZM), pp. 1999–2002.

ICML-c1-2014-RajkumarA #algorithm #convergence #rank #statistics

A Statistical Convergence Perspective of Algorithms for Rank Aggregation from Pairwise Data (AR, SA), pp. 118–126.

ICPR-2014-ZambaniniKK #consistency #evaluation #geometry

Classifying Ancient Coins by Local Feature Matching and Pairwise Geometric Consistency Evaluation (SZ, AK, MK), pp. 3032–3037.

SIGIR-2014-QiuCYLL #learning #personalisation #ranking

Item group based pairwise preference learning for personalized ranking (SQ, JC, TY, CL, HL), pp. 1219–1222.

SAC-2014-WangEB #evolution #orthogonal

Mirrored orthogonal sampling with pairwise selection in evolution strategies (HW, ME, TB), pp. 154–156.

ICSM-2013-Lopez-HerrejonCFEA #multi #product line #testing

Multi-objective Optimal Test Suite Computation for Software Product Line Pairwise Testing (RELH, JFC, JF, AE, EA), pp. 404–407.

STOC-2013-Chan #approximate #independence

Approximation resistance from pairwise independent subgroups (SOC), pp. 447–456.

ICALP-v1-2013-KavithaV

Small Stretch Pairwise Spanners (TK, NMV), pp. 601–612.

VISSOFT-2013-Lopez-HerrejonE #interactive #product line #testing #towards #visualisation

Towards interactive visualization support for pairwise testing software product lines (RELH, AE), pp. 1–4.

ICML-c1-2013-PeleTGW #classification #performance

The Pairwise Piecewise-Linear Embedding for Efficient Non-Linear Classification (OP, BT, AG, MW), pp. 205–213.

ICML-c3-2013-KarS0K #algorithm #learning #on the #online

On the Generalization Ability of Online Learning Algorithms for Pairwise Loss Functions (PK, BKS, PJ, HK), pp. 441–449.

ICML-c3-2013-WauthierJJ #performance #ranking

Efficient Ranking from Pairwise Comparisons (FLW, MIJ, NJ), pp. 109–117.

ICML-c3-2013-YiZJQJ #clustering #matrix #similarity

Semi-supervised Clustering by Input Pattern Assisted Pairwise Similarity Matrix Completion (JY, LZ, RJ, QQ, AKJ), pp. 1400–1408.

KDD-2013-LouCGH #interactive #modelling

Accurate intelligible models with pairwise interactions (YL, RC, JG, GH), pp. 623–631.

RecSys-2013-SharmaY #community #learning #recommendation

Pairwise learning in recommendation: experiments with community recommendation on linkedin (AS, BY), pp. 193–200.

SPLC-2013-MarijanGSH #product line #testing

Practical pairwise testing for software product lines (DM, AG, SS, AH), pp. 227–235.

CIKM-2012-FangS #approach #feedback #learning #recommendation

A latent pairwise preference learning approach for recommendation from implicit feedback (YF, LS), pp. 2567–2570.

ICML-2012-SejdinovicGSF #kernel #testing #using

Hypothesis testing using pairwise distances and associated kernels (DS, AG, BKS, KF), p. 104.

ICPR-2012-BergamascoATFZ #segmentation

Pairwise similarities for scene segmentation combining color and depth data (FB, AA, AT, MF, PZ), pp. 3565–3568.

ICPR-2012-SerratosaCS #graph #interactive

Interactive graph matching by means of imposing the pairwise costs (FS, XC, ASR), pp. 1298–1301.

ICPR-2012-XueCH #classification #constraints #kernel

Discriminative indefinite kernel classifier from pairwise constraints and unlabeled data (HX, SC, JH), pp. 497–500.

KDD-2012-XiongJXC #dependence #learning #metric #random

Random forests for metric learning with implicit pairwise position dependence (CX, DMJ, RX, JJC), pp. 958–966.

KDIR-2012-DuarteFD #clustering #constraints #using

Evidence Accumulation Clustering using Pairwise Constraints (JMMD, ALNF, FJFD), pp. 293–299.

SIGIR-2012-FangHC #graph

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

ICST-2012-GotliebHB #constraints #programming #using

Minimum Pairwise Coverage Using Constraint Programming Techniques (AG, AH, BB), pp. 773–774.

CASE-2011-LeH #analysis #random

Marginal analysis on binary pairwise Gibbs random fields (TL, CNH), pp. 316–321.

ICALP-v1-2011-DyerM #game studies

Pairwise-Interaction Games (MED, VM), pp. 159–170.

CIKM-2011-FuLZZ #learning #query

Do they belong to the same class: active learning by querying pairwise label homogeneity (YF, BL, XZ, CZ), pp. 2161–2164.

CIKM-2011-SellamanickamGS #approach #learning #ranking

A pairwise ranking based approach to learning with positive and unlabeled examples (SS, PG, SKS), pp. 663–672.

ICML-2011-LuB #learning #modelling

Learning Mallows Models with Pairwise Preferences (TL, CB), pp. 145–152.

SIGIR-2011-TureEL #similarity

No free lunch: brute force vs. locality-sensitive hashing for cross-lingual pairwise similarity (FT, TE, JJL), pp. 943–952.

SAC-2011-ChenZGZWSC #approach #interactive #reduction #requirements #testing

A test suite reduction approach based on pairwise interaction of requirements (XC, LZ, QG, HZ, ZW, XS, DC), pp. 1390–1397.

ICSM-2010-SaleckerG #graph #testing #using

Pairwise test set calculation using k-partite graphs (ES, SG), pp. 1–5.

ICML-2010-CostaG #distance #kernel #performance

Fast Neighborhood Subgraph Pairwise Distance Kernel (FC, KDG), pp. 255–262.

ICPR-2010-MakiharaY #analysis #clustering

Cluster-Pairwise Discriminant Analysis (YM, YY), pp. 577–580.

ICPR-2010-Seo #detection #distance #matrix

Speaker Change Detection Based on the Pairwise Distance Matrix (JSS), pp. 93–96.

ICPR-2010-TaWLBJ #recognition

Pairwise Features for Human Action Recognition (APT, CW, GL, AB, JMJ), pp. 3224–3227.

SPLC-2010-OsterMR #automation #incremental #product line #testing

Automated Incremental Pairwise Testing of Software Product Lines (SO, FM, PR), pp. 196–210.

HPDC-2010-AgrawalMHC #estimation #named #parallel #sequence #statistics

MPIPairwiseStatSig: parallel pairwise statistical significance estimation of local sequence alignment (AA, SM, DH, ANC), pp. 470–476.

HPDC-2010-KieferVL #pipes and filters

Pairwise Element Computation with MapReduce (TK, PBV, WL), pp. 826–833.

ICTSS-2010-LamanchaU #generative #product line #testing #using

Testing Product Generation in Software Product Lines Using Pairwise for Features Coverage (BPL, MPU), pp. 111–125.

ICDAR-2009-ParakhinH #probability #ranking

Finding the Most Probable Ranking of Objects with Probabilistic Pairwise Preferences (MP, PMH), pp. 616–620.

ICML-2009-UsunierBG #classification #order #ranking

Ranking with ordered weighted pairwise classification (NU, DB, PG), pp. 1057–1064.

RecSys-2009-ParkC #recommendation

Pairwise preference regression for cold-start recommendation (STP, WC), pp. 21–28.

SIGIR-2009-CumminsO #framework #information retrieval #learning #proximity

Learning in a pairwise term-term proximity framework for information retrieval (RC, CO), pp. 251–258.

SIGIR-2009-Lin #documentation #pipes and filters #similarity

Brute force and indexed approaches to pairwise document similarity comparisons with MapReduce (JJL), pp. 155–162.

LICS-2009-Kahlon #bound #communication #decidability #thread

Boundedness vs. Unboundedness of Lock Chains: Characterizing Decidability of Pairwise CFL-Reachability for Threads Communicating via Locks (VK), pp. 27–36.

CIKM-2008-CarvalhoECC #ranking

Suppressing outliers in pairwise preference ranking (VRC, JLE, WWC, JGC), pp. 1487–1488.

ICML-2008-LiLT #classification #constraints #programming

Pairwise constraint propagation by semidefinite programming for semi-supervised classification (ZL, JL, XT), pp. 576–583.

ICML-2008-LuLHE #framework #kernel

A reproducing kernel Hilbert space framework for pairwise time series distances (ZL, TKL, YH, DE), pp. 624–631.

ICPR-2008-GaoL #classification #polynomial #recognition

Combining quadratic classifier and pair discriminators by pairwise coupling for handwritten Chinese character recognition (TFG, CLL), pp. 1–4.

ICPR-2008-TorselloBP #clustering

Beyond partitions: Allowing overlapping groups in pairwise clustering (AT, SRB, MP), pp. 1–4.

HPCA-2008-LarsonSDDYGSKS #interactive #simulation

High-throughput pairwise point interactions in Anton, a specialized machine for molecular dynamics simulation (RHL, JKS, ROD, MMD, CY, JPG, YS, JLK, DES), pp. 331–342.

ICEIS-AIDSS-2007-Janicki #partial order

Pairwise Comparisons, Incomparability and Partial Orders (RJ), pp. 297–302.

ICML-2007-CaoQLTL #approach #learning #rank

Learning to rank: from pairwise approach to listwise approach (ZC, TQ, TYL, MFT, HL), pp. 129–136.

ICML-2007-HoiJL #constraints #kernel #learning #matrix #parametricity

Learning nonparametric kernel matrices from pairwise constraints (SCHH, RJ, MRL), pp. 361–368.

ICML-2007-ZhangY #classification #consistency #constraints #on the

On the value of pairwise constraints in classification and consistency (JZ, RY), pp. 1111–1118.

KDD-2007-LiuJJ #clustering #constraints #named

BoostCluster: boosting clustering by pairwise constraints (YL, RJ, AKJ), pp. 450–459.

MLDM-2007-SzepannekBW #classification #on the

On the Combination of Locally Optimal Pairwise Classifiers (GS, BB, CW), pp. 104–116.

ICPR-v1-2006-FredJ #clustering #learning #similarity

Learning Pairwise Similarity for Data Clustering (ALNF, AKJ), pp. 925–928.

SIGIR-2006-CarteretteP #learning #ranking

Learning a ranking from pairwise preferences (BC, DP), pp. 629–630.

ICML-2005-BekkermanEM #clustering #interactive #multi

Multi-way distributional clustering via pairwise interactions (RB, REY, AM), pp. 41–48.

AMOST-2005-BryceC #interactive

Test prioritization for pairwise interaction coverage (RCB, CJC).

ICDAR-2003-HamamuraMI #classification #multi

A Multiclass Classification Method Based on Multiple Pairwise Classifiers (TH, HM, BI), pp. 809–813.

ICML-2001-Krawiec #comparison #learning

Pairwise Comparison of Hypotheses in Evolutionary Learning (KK), pp. 266–273.

MLDM-2001-Krawiec #comparison #learning #on the #visual notation

On the Use of Pairwise Comparison of Hypotheses in Evolutionary Learning Applied to Learning from Visual Examples (KK), pp. 307–321.

SAC-2001-ZhouCH #correlation #identification #optimisation #problem #set #using

Identifying the most significant pairwise correlations of residues in different positions of helices: the subset selection problem using least squares optimization (XZ, GC, MTH), pp. 51–55.

ICPR-v2-2000-BuhmannZ #clustering #learning

Active Learning for Hierarchical Pairwise Data Clustering (JMB, TZ), pp. 2186–2189.

STOC-1999-DodisK #bound #design #distance #network

Design Networks with Bounded Pairwise Distance (YD, SK), pp. 750–759.

ICPR-1998-Gimelfarb #interactive #modelling #question #segmentation #what

Supervised segmentation by pairwise interactions: do Gibbs models learn what we expect? (GLG), pp. 817–819.

CIKM-1997-KoczkodajHO #knowledge-based #using

Using Consistency-driven Pairwise Comparisons in Knowledge-based Systems (WWK, MWH, MO), pp. 91–96.

ICPR-1996-Gimelfarb #interactive #multi

Non-Markov Gibbs texture model with multiple pairwise pixel interactions (GLG), pp. 591–595.

ICSE-1996-RomanMP #interactive #mobile #reasoning

Assertional Reasoning about Pairwise Transient Interactions in Mobile Computing (GCR, PJM, JYP), pp. 155–164.

DAC-1994-PotkonjakSC #constant #multi #performance #using

Efficient Substitution of Multiple Constant Multiplications by Shifts and Additions Using Iterative Pairwise Matching (MP, MBS, AC), pp. 189–194.

STOC-1994-Wigderson #independence #power of

The amazing power of pairwise independence (abstract) (AW), pp. 645–647.