Stem least$ (all stems)

96 papers:

ICML-2015-RaskuttiM #algorithm #random #sketching #statistics

Statistical and Algorithmic Perspectives on Randomized Sketching for Ordinary Least-Squares (GR, MM), pp. 617–625.

ICML-2015-ZhouZ #problem

Safe Subspace Screening for Nuclear Norm Regularized Least Squares Problems (QZ, QZ), pp. 1103–1112.

KDD-2015-GabelKS #distributed #modelling #monitoring

Monitoring Least Squares Models of Distributed Streams (MG, DK, AS), pp. 319–328.

BX-2015-CheneyGMS #bidirectional #towards

Towards a Principle of Least Surprise for Bidirectional Transformations (JC, JG, JM, PS), pp. 66–80.

SAC-2015-ChaudhuriMG #network #predict #using

QoS prediction for network data traffic using hierarchical modified regularized least squares rough support vector regression (AC, SM, SKG), pp. 659–661.

CSL-2015-BaeldeDS #fixpoint

Least and Greatest Fixed Points in Ludics (DB, AD, AS), pp. 549–566.

SAT-2015-MenciaPM #bound #satisfiability

SAT-Based Horn Least Upper Bounds (CM, AP, JMS), pp. 423–433.

VLDB-2014-AnciauxBDIKMP #named

Folk-IS: Opportunistic Data Services in Least Developed Countries (NA, LB, TD, SI, LK, NM, PP), pp. 425–428.

ICML-c2-2014-AgarwalKKSV #multi #predict #scalability

Least Squares Revisited: Scalable Approaches for Multi-class Prediction (AA, SMK, NK, LS, GV), pp. 541–549.

ICML-c2-2014-MalioutovS

Convex Total Least Squares (DM, NS), pp. 109–117.

ICML-c2-2014-WangWY #reduction #scalability

Scaling SVM and Least Absolute Deviations via Exact Data Reduction (JW, PW, JY), pp. 523–531.

MLDM-2014-JayabalR #clustering #modelling #performance #student

Clustering Students Based on Student’s Performance — A Partial Least Squares Path Modeling (PLS-PM) Study (YJ, CR), pp. 393–407.

SAC-2014-YooLB #memory management #policy

The least-dirty-first cache replacement policy for phase-change memory (SY, EL, HB), pp. 1449–1454.

ASE-2013-Wu0LD #analysis #automation #component #dependence #using

Automatically partition software into least privilege components using dynamic data dependency analysis (YW, JS, YL, JSD), pp. 323–333.

DATE-2013-DiversiBTBB #identification

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

SIGMOD-2013-DeWittINS

We are drowning in a sea of least publishable units (LPUs) (DJD, IFI, JFN, MS), pp. 921–922.

ECIR-2013-MirkinS #clustering

Least Square Consensus Clustering: Criteria, Methods, Experiments (BGM, AS), pp. 764–767.

KDD-2013-Mu0ZT #probability #problem #scalability

Constrained stochastic gradient descent for large-scale least squares problem (YM, WD, TZ, DT), pp. 883–891.

BX-2013-MacedoPCO #lens

Composing Least-change Lenses (NM, HP, AC, JNO), pp. 57–75.

PPoPP-2013-DeoK #array #gpu #parallel

Parallel suffix array and least common prefix for the GPU (MD, SK), pp. 197–206.

CIKM-2012-ShirazipourazadBVSH #contest #how

Influence propagation in adversarial setting: how to defeat competition with least amount of investment (SS, BB, HV, AS, PH), pp. 585–594.

ICML-2012-XiaoZ #problem

A Proximal-Gradient Homotopy Method for the L1-Regularized Least-Squares Problem (LX, TZ), p. 160.

ICPR-2012-ChandraJ #kernel #sequence #video

Partial Least Squares kernel for computing similarities between video sequences (SC, CVJ), pp. 513–516.

ICPR-2012-TangW #detection #semantics

Semantic Hough Transform based object detection with Partial Least Squares (JT, HW), pp. 3652–3655.

ICPR-2012-YingYKHGZ

Direct least square fitting of ellipsoids (XY, LY, JK, YH, SG, HZ), pp. 3228–3231.

KDD-2012-XiangZSY #rank

Optimal exact least squares rank minimization (SX, YZ, XS, JY), pp. 480–488.

RecSys-2012-TakacsT #personalisation #ranking

Alternating least squares for personalized ranking (GT, DT), pp. 83–90.

CASE-2011-HuangG #deployment #heuristic

An improved Least Cost Heuristic for dynamic yard crane deployment in container terminals (SYH, XG), pp. 84–89.

ICEIS-v2-2011-LiangZL

Stock Market Forecasting based on Wavelet and Least Squares Support Vector Machine (XL, HZ, XL), pp. 46–53.

ICML-2011-KadriRPDR #functional #kernel

Functional Regularized Least Squares Classication with Operator-valued Kernels (HK, AR, PP, ED, AR), pp. 993–1000.

ECSA-2010-ScandariatoBJ #architecture #automation #detection

Automated Detection of Least Privilege Violations in Software Architectures (RS, KB, WJ), pp. 150–165.

FLOPS-2010-KetemaS #bound #diagrams #term rewriting #λ-calculus

Least Upper Bounds on the Size of Church-Rosser Diagrams in Term Rewriting and λ-Calculus (JK, JGS), pp. 272–287.

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

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

ICML-2010-Yu #convergence #difference

Convergence of Least Squares Temporal Difference Methods Under General Conditions (HY), pp. 1207–1214.

ICPR-2010-RangarajanKNS

Hyper Least Squares and Its Applications (PR, KK, HN, YS), pp. 5–8.

CGO-2010-Newburn

There are at least two sides to every heterogeneous system (CCJN), p. 120.

DAC-2009-Li #equation #modelling #performance #scalability

Finding deterministic solution from underdetermined equation: large-scale performance modeling by least angle regression (XL0), pp. 364–369.

FoSSaCS-2009-Clairambault #fixpoint #game studies #semantics

Least and Greatest Fixpoints in Game Semantics (PC), pp. 16–31.

GT-VMT-2009-MazanekM09a #diagrams #parsing #using

Contraction of Unconnected Diagrams using Least Cost Parsing (SM, MM), pp. 189–201.

ICML-2009-KolterN09a #difference #feature model #learning

Regularization and feature selection in least-squares temporal difference learning (JZK, AYN), pp. 521–528.

ICML-2009-SunJY #machine learning #problem

A least squares formulation for a class of generalized eigenvalue problems in machine learning (LS, SJ, JY), pp. 977–984.

CADE-2009-GregoireMP #question #set

Does This Set of Clauses Overlap with at Least One MUS? (ÉG, BM, CP), pp. 100–115.

ICML-2008-SunJY #analysis #canonical #correlation

A least squares formulation for canonical correlation analysis (LS, SJ, JY), pp. 1024–1031.

ICPR-2008-Abd-AlmageedASD #classification #hybrid #using

Document-zone classification using partial least squares and hybrid classifiers (WAA, MA, WS, DSD), pp. 1–4.

ICPR-2008-JiaZ #reduction

Local Regularized Least-Square Dimensionality Reduction (YJ, CZ), pp. 1–4.

KDD-2008-SaigoKT #graph #mining

Partial least squares regression for graph mining (HS, NK, KT), pp. 578–586.

SAC-2008-YuB #detection #effectiveness #multi #performance

A fast and effective method to detect multiple least significant bits steganography (XY, NB), pp. 1443–1447.

CASE-2007-SarkisSD #automation #modelling #parametricity #using

Modeling the Variation of the Intrinsic Parameters of an Automatic Zoom Camera System using Moving Least-Squares (MS, CTS, KD), pp. 560–565.

ICML-2007-Ye #analysis #linear

Least squares linear discriminant analysis (JY), pp. 1087–1093.

SAC-2007-ZengWN #analysis #classification

Text classification based on partial least square analysis (XQZ, MWW, JYN), pp. 834–838.

CC-2007-BatchelderH #java #obfuscation

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

DATE-2006-MeiR #analysis #performance #using

Efficient AC analysis of oscillators using least-squares methods (TM, JSR), pp. 263–268.

ICEIS-ISAS-2006-Weghorn #internet #network

Technology for Least-Cost Network Routing via Bluetooth and its Practical Application — Replacing Internet Access through Wireless Phone Networks by BT Data Links (HW), pp. 394–402.

ICML-2006-BrefeldGSW #performance

Efficient co-regularised least squares regression (UB, TG, TS, SW), pp. 137–144.

SAC-2006-HazelTVW #approach #named #scalability

TerraCost: a versatile and scalable approach to computing least-cost-path surfaces for massive grid-based terrains (TH, LT, JV, RW), pp. 52–57.

KDD-2005-Momma #kernel #performance #scalability

Efficient computations via scalable sparse kernel partial least squares and boosted latent features (MM), pp. 654–659.

DATE-v1-2004-KielyG #modelling #performance #using

Performance Modeling of Analog Integrated Circuits Using Least-Squares Support Vector Machines (TK, GGEG), pp. 448–453.

ICALP-2004-Schweikardt #fixpoint #logic #monad #on the #power of

On the Expressive Power of Monadic Least Fixed Point Logic (NS), pp. 1123–1135.

ICPR-v1-2004-ZhangP #classification

SVM vs Regularized Least Squares Classification (PZ, JP), pp. 176–179.

ICPR-v2-2004-LuCY #approach #composition #graph

A Graph Decomposition Approach to Least Squares Attributed Graph Matching (JL, TC, JYY), pp. 471–474.

ICPR-v4-2004-DebiollesOA #network

Combined Use of Partial Least Squares Regression and Neural Network for Diagnosis Tasks (AD, LO, PA), pp. 573–576.

ICPR-v4-2004-LaiY #algorithm #fault #network #predict

Successive-Least-Squares Error Algorithm on Minimum Description Length Neural Networks for Time Series Prediction (YNL, SYY), pp. 609–612.

STOC-2003-Hayes #graph

Randomly coloring graphs of girth at least five (TPH), pp. 269–278.

PODS-2002-ChuHG #optimisation #query #question #what

Least Expected Cost Query Optimization: What Can We Expect? (FCC, JYH, JG), pp. 293–302.

ICPR-v3-2002-LeungKCT #documentation #fuzzy #image #normalisation #using

Normalization of Contrast in Document Images Using Generalized Fuzzy Operator with Least Square Method (CCL, PCKK, FHYC, WKT), pp. 115–118.

LICS-2002-Kreutzer #equivalence #fixpoint #logic

Expressive Equivalence of Least and Inflationary Fixed-Point Logic (SK), p. 403–?.

ICALP-2001-Furer #linear #refinement

Weisfeiler-Lehman Refinement Requires at Least a Linear Number of Iterations (MF), pp. 322–333.

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.

IJCAR-2001-AudemardH #heuristic

The eXtended Least Number Heuristic (GA, LH), pp. 427–442.

CIAA-2000-FerroDR #fault

Regional Least-Cost Error Repair (MVF, VMD, FJR), pp. 293–301.

ICPR-v3-2000-GhosalURP

Hierarchical Partitioned Least Squares Filter-Bank for Fingerprint Enhancement (SG, RU, NKR, SP), pp. 3338–3341.

ICPR-v3-2000-YeH #adaptation #approach

Optical Flow from a Least-Trimmed Squares Based Adaptive Approach (MY, RMH), pp. 7064–7067.

CSL-2000-Esik #axiom #fixpoint

Axiomatizing the Least Fixed Point Operation and Binary Supremum (ZÉ), pp. 302–316.

ICDAR-1999-MoritaFBGS

Mathematical Morphology and Weighted Least Squares to Correct Handwriting Baseline Skew (MEM, JF, FB, SJAG, RS), pp. 430–433.

PODS-1999-ChuHS #optimisation #query

Least Expected Cost Query Optimization: An Exercise in Utility (FCC, JYH, PS), pp. 138–147.

ICML-1999-Boyan #difference #learning

Least-Squares Temporal Difference Learning (JAB), pp. 49–56.

CSL-1999-Beklemishev #bound #query

Open Least Element Principle and Bounded Query Computation (LDB), pp. 389–404.

STOC-1998-BuchsbaumKRW #algorithm #linear #verification

Linear-Time Pointer-Machine Algorithms for Least Common Ancestors, MST Verification, and Dominators (ALB, HK, AR, JW), pp. 279–288.

WIA-1998-Augros #automaton #finite #infinity #set #word

Automata to Recognize Finite and Infinite Words with at Least Two Factorizations on a Given Finite Set (XA), pp. 220–225.

ICPR-1998-ShearerVB #algorithm #performance #video

An efficient least common subgraph algorithm for video indexing (KS, SV, HB), pp. 1241–1243.

ICPR-1998-Ude #estimation #optimisation

Nonlinear least squares optimisation of unit quaternion functions for pose estimation from corresponding features (AU), pp. 425–427.

EDTC-1997-BoglioloBM #adaptation #behaviour #modelling

Adaptive least mean square behavioral power modeling (AB, LB, GDM), pp. 404–410.

DAC-1996-BinhISH #algorithm #clustering #design #hardware #pipes and filters

A Hardware/Software Partitioning Algorithm for Designing Pipelined ASIPs with Least Gate Counts (NNB, MI, AS, NH), pp. 527–532.

ICPR-1996-FitzgibbonPF

Direct least squares fitting of ellipses (AWF, MP, RBF), pp. 253–257.

ICPR-1996-HillCT

Least-squares solution of absolute orientation with non-scalar weights (AH, TFC, CJT), pp. 461–465.

ICDAR-v2-1995-YuTS #detection #documentation

Document skew detection based on the fractal and least squares method (CLY, YYT, CYS), pp. 1149–1152.

SIGIR-1995-Iivonen #consistency #difference

Searchers and Searchers: Differences between the Most and Least Consistent Searchers (MI), pp. 149–157.

ICALP-1994-Seidl #equation

Least Solutions of Equations over N (HS), pp. 400–411.

SIGIR-1993-YangC #information retrieval

An Application of Least Squares Fit Mapping to Text Information Retrieval (YY, CGC), pp. 281–290.

CSL-1993-Stewart #fixpoint #quantifier

Incorporating Generalized Quantifiers and the Least Fixed Point Operator (IAS), pp. 318–333.

ICSE-1991-JacobyT #evaluation #geometry #parametricity #reliability

Parameter Value Computation by Least Square Method and Evaluation of Software Availability and Reliability at Service-Operation by the Hyper-Geometric Distribution Software Reliability Growth Model (HGDM) (RJ, YT), pp. 226–237.

PLILP-1990-Sahlin #fixpoint #prolog #using

Finding the Least Fixed Point Using Wait-Declarations in Prolog (DS), pp. 151–158.

PODS-1989-Przymusinski #fixpoint #logic programming

Every Logic Program Has a Natural Stratification And an Iterated Least Fixed Point Model (TCP), pp. 11–21.

DAC-1984-Blanks #array #using

Initial placement of gate arrays using least-squares methods (JPB), pp. 670–671.

ICALP-1979-Tiuryn #fixpoint

Unique Fixed Points vs. Least Fixed Points (JT), pp. 633–645.

VLDB-1977-YamamotoTUI #design #multi

Design of a Balanced Multiple Valued File Organization Schema with the Least Redundancy (SY, ST, KU, HI), p. 230.