Stem batch$ (all stems)

82 papers:

CASE-2015-ShiLGS #problem

Production planning for a class of batch processing problem (ZS, PL, HG, LS), pp. 1188–1193.

ICALP-v1-2015-AronovK #algebra #diagrams #tool support

Batched Point Location in SINR Diagrams via Algebraic Tools (BA, MJK), pp. 65–77.

ICML-2015-IoffeS #network #normalisation

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (SI, CS), pp. 448–456.

KDD-2015-ChakrabortyBSPY #classification #framework #learning #named #novel

BatchRank: A Novel Batch Mode Active Learning Framework for Hierarchical Classification (SC, VNB, ARS, SP, JY), pp. 99–108.

KDD-2015-ZhuangPRH #crowdsourcing

Debiasing Crowdsourced Batches (HZ, AGP, DR, JH), pp. 1593–1602.

PPoPP-2015-HaidarDLTD #hardware #linear #towards

Towards batched linear solvers on accelerated hardware platforms (AH, TD, PL, ST, JJD), pp. 261–262.

CASE-2014-JiaZAX #analysis

Analysis and improvement of batch-based production lines with Bernoulli machines (ZJ, LZ, JA, GX), pp. 13–18.

CASE-2014-Wu #classification

Classifications for batch service queues in production systems (KW), pp. 698–703.

VLDB-2014-BoykinROL #framework #named #online #pipes and filters

Summingbird: A Framework for Integrating Batch and Online MapReduce Computations (POB, SR, IO, JL), pp. 1441–1451.

EDOC-2014-Pufahl0W #process

Batch Regions: Process Instance Synchronization Based on Data (LP, AM, MW), pp. 150–159.

KDD-2014-DundarYR #identification #towards

Batch discovery of recurring rare classes toward identifying anomalous samples (MD, HZY, BR), pp. 223–232.

KDD-2014-LiZCS #optimisation #performance #probability

Efficient mini-batch training for stochastic optimization (ML, TZ, YC, AJS), pp. 661–670.

KDD-2014-Ting #approximate

Streamed approximate counting of distinct elements: beating optimal batch methods (DT), pp. 442–451.

PPoPP-2014-AgrawalFSSU #data type #parallel #scheduling #source code

Provably good scheduling for parallel programs that use data structures through implicit batching (KA, JTF, BS, JS, RU), pp. 389–390.

CASE-2013-JiaJL #algorithm #scheduling

A job-family-oriented algorithm for re-entrant batch processing machine scheduling (WJ, ZJ, YL), pp. 1022–1027.

CHI-2013-GaverBBBCHJP #approach #human-computer #prototype

Indoor weather stations: investigating a ludic approach to environmental HCI through batch prototyping (WWG, JB, KB, AB, DWTC, MH, NJ, SP), pp. 3451–3460.

ICML-c1-2013-ChenK #adaptation #learning #optimisation

Near-optimal Batch Mode Active Learning and Adaptive Submodular Optimization (YC, AK), pp. 160–168.

ICML-c3-2013-ChattopadhyayFDPY #learning

Joint Transfer and Batch-mode Active Learning (RC, WF, ID, SP, JY), pp. 253–261.

ICML-c3-2013-TakacBRS

Mini-Batch Primal and Dual Methods for SVMs (MT, ASB, PR, NS), pp. 1022–1030.

KDD-2013-WangY #learning #query

Querying discriminative and representative samples for batch mode active learning (ZW, JY), pp. 158–166.

SAC-2013-AnielloQB #data transformation

Input data organization for batch processing in time window based computations (LA, LQ, RB), pp. 363–370.

ICSE-2013-LiuYCY #monitoring #novel #parallel #process

Selecting checkpoints along the time line: a novel temporal checkpoint selection strategy for monitoring a batch of parallel business processes (XL, YY, DC, DY), pp. 1281–1284.

VLDB-2012-YuanZWXYH #difference #optimisation #privacy #query #rank

Low-Rank Mechanism: Optimizing Batch Queries under Differential Privacy (GY, ZZ, MW, XX, YY, ZH), pp. 1352–1363.

ECIR-2012-GalleR #clustering

Full and Mini-batch Clustering of News Articles with Star-EM (MG, JMR), pp. 494–498.

ICML-2012-AzimiFFBH #coordination #learning

Batch Active Learning via Coordinated Matching (JA, AF, XZF, GB, BH), p. 44.

ICML-2012-AzimiJF #hybrid #optimisation

Hybrid Batch Bayesian Optimization (JA, AJ, XZF), p. 45.

ICML-2012-CotterSS #kernel #probability

The Kernelized Stochastic Batch Perceptron (AC, SSS, NS), p. 98.

ICPR-2012-YangLZC #image #learning #multi #retrieval

Multi-view learning with batch mode active selection for image retrieval (WY, GL, LZ, EC), pp. 979–982.

KDD-2012-ChattopadhyayWFDPY #probability

Batch mode active sampling based on marginal probability distribution matching (RC, ZW, WF, ID, SP, JY), pp. 741–749.

CASE-2011-KaoZCHWLWWC #constraints

Near optimal furnace tool allocation with batching and waiting time constraints (YTK, SCZ, SCC, JHH, PW, PBL, SW, FW, JC), pp. 108–113.

SIGMOD-2011-SilbersteinSZC #case study #experience

A batch of PNUTS: experiences connecting cloud batch and serving systems (AS, RS, WZ, BFC), pp. 1101–1112.

ICEIS-v1-2011-RamirezC #fault #process #using

Fault Diagnosis of Batch Processes Release using PCA Contribution Plots as Fault Signatures (AWR, JCL), pp. 223–228.

CASE-2010-JingL #assembly #hybrid #scheduling

A MILP-based batch scheduling for two-stage hybrid flowshop with sequence-dependent setups in semiconductor assembly and test manufacturing (XJ, ZL), pp. 87–92.

CASE-2010-ParkB

Utility-based dynamic control of batch processing systems (HP, AB), pp. 439–444.

KDIR-2010-JedrzejczakW #generative #query #using

Integrated Candidate Generation in Processing Batches of Frequent Itemset Queries using Apriori (PJ, MW), pp. 487–490.

HPDC-2010-SivagamaVN #component #framework #middleware #multi #named

Morco: middleware framework for long-running multi-component applications on batch grids (SMS, SSV, RSN), pp. 328–331.

CASE-2009-LiQW #parallel #scheduling

ACO-based scheduling of parallel batch processing machines to minimize the total weighted tardiness (LL, FQ, QW), pp. 280–285.

CASE-2009-WangLABH #flexibility #quality

Monotonic and non-monotonic properties of product quality in flexible manufacturing systems with batch operations (JW, JL, JA, SB, NH), pp. 13–18.

ICML-2009-DoLF #learning #online

Proximal regularization for online and batch learning (CBD, QVL, CSF), pp. 257–264.

ECOOP-2009-IbrahimJTC #composition

Remote Batch Invocation for Compositional Object Services (AI, YJ, ET, WRC), pp. 595–617.

ICST-2009-ChangRV #resource management #testing

Optimal Resource Allocation for Batch Testing (FC, JR, RV), pp. 91–100.

CASE-2008-LiQ #scheduling

ACO-based scheduling for a single Batch Processing Machine in semiconductor manufacturing (LL, FQ), pp. 85–90.

CASE-2008-WangLABH #analysis #flexibility #quality

Quality analysis in flexible manufacturing systems with batch productions (JW, JL, JA, SB, NH), pp. 460–465.

VLDB-2008-GuravannavarS

Rewriting procedures for batched bindings (RG, SS), pp. 1107–1123.

ICML-2008-LazaricRB #learning

Transfer of samples in batch reinforcement learning (AL, MR, AB), pp. 544–551.

SAC-2008-MattosLFM #clustering #documentation #framework #named

BigBatch: a document processing platform for clusters and grids (GdOM, RDL, AdAF, FMJM), pp. 434–441.

HPDC-2008-PasqualiBCRL #scalability

A two-level scheduler to dynamically schedule a stream of batch jobs in large-scale grids (MP, RB, GC, LR, DL), pp. 231–232.

HPDC-2008-SotomayorKF #execution #using #virtual machine

Combining batch execution and leasing using virtual machines (BS, KK, ITF), pp. 87–96.

PPoPP-2008-NurmiWB #parallel #probability

Probabilistic advanced reservations for batch-scheduled parallel machines (DN, RW, JB), pp. 289–290.

CASE-2007-DingAS #modelling #probability

Stochastic Modeling for Serial-Batching Workstations with Heterogeneous Machines (SD, RAT, JGS), pp. 77–81.

CASE-2007-DingSA #modelling #probability

Stochastic Modeling for Serial-Batching Workstations with Heterogeneous Machines (SD, JGS, RAT), p. 91–?.

ICML-2007-HaiderBS #clustering #detection #email #streaming

Supervised clustering of streaming data for email batch detection (PH, UB, TS), pp. 345–352.

CASE-2006-RaghavanV #optimisation #parallel #product line #scheduling #using

Scheduling Parallel Batch Processors with Incompatible Job Families Using Ant Colony Optimization (NRSR, MV), pp. 507–512.

CASE-2006-XiaoX #modelling #monitoring #process

Monitoring of batch processes with non-linear modeling methods (YX, BX), pp. 140–143.

ICML-2006-HoiJZL #classification #image #learning

Batch mode active learning and its application to medical image classification (SCHH, RJ, JZ, MRL), pp. 417–424.

ICML-2006-ShengL #algorithm #testing

Feature value acquisition in testing: a sequential batch test algorithm (VSS, CXL), pp. 809–816.

HPDC-2006-Casanova #on the

On the Harmfulness of Redundant Batch Requests (HC), pp. 255–266.

HPDC-2006-KhannaVCKKSS #data-driven #replication #scheduling

Task Scheduling and File Replication for Data-Intensive Jobs with Batch-shared I/O (GK, NV, ÜVÇ, TMK, SK, PS, JHS), pp. 241–252.

PPoPP-2006-BrevikNW #bound #parallel #predict

Predicting bounds on queuing delay for batch-scheduled parallel machines (JB, DN, RW), pp. 110–118.

CASE-2005-FalkmanLT #algebra #petri net #process #specification #using

Specification of a batch plant using process algebra and Petri nets (PF, BL, MT), pp. 339–344.

DocEng-2005-LinsA #documentation #named

BigBatch: a toolbox for monochromatic documents (RDL, BTÁ), pp. 239–240.

STOC-2004-IshaiKOS

Batch codes and their applications (YI, EK, RO, AS), pp. 262–271.

CIKM-2004-LiuRF #maintenance

Restructuring batch view maintenance efficiently (BL, EAR, DF), pp. 228–229.

ICML-2004-Shalev-ShwartzSN #learning #online #pseudo

Online and batch learning of pseudo-metrics (SSS, YS, AYN).

HPDC-2003-ThainBAAL #grid #pipes and filters

Pipeline and Batch Sharing in Grid Workloads (DT, JB, ACAD, RHAD, ML), pp. 152–161.

STOC-2002-Bachmat #analysis #scheduling #sequence

Average case analysis for batched disk scheduling and increasing subsequences (EB), pp. 277–286.

CIKM-2002-LiuCR #maintenance

Batch data warehouse maintenance in dynamic environments (BL, SC, EAR), pp. 68–75.

SIGIR-2002-TurpinH #user interface

User interface effects in past batch versus user experiments (AT, WRH), pp. 431–432.

HPDC-2002-MockYPFT #generative #web #web service

A Batch Script Generator Web Service for Computational Portals (SM, CHY, MEP, GF, MT), p. 421.

KDD-2001-OzaR #online

Experimental comparisons of online and batch versions of bagging and boosting (NCO, SJR), pp. 359–364.

SIGIR-2001-TurpinH #why

Why Batch and User Evaluations Do Not Give the Same Results (AT, WRH), pp. 225–231.

SAC-2001-KimW

Batch-construction of B+-trees (SWK, HSW), pp. 231–235.

SIGIR-2000-HershTPCKSO #evaluation #question

Do batch and user evaluation give the same results? (WRH, AT, SP, BC, DK, LS, DO), pp. 17–24.

SAC-1997-LuL #protocol

A negotiation protocol for batch task assignments in dynamic load distribution (CL, SML), pp. 447–453.

ICSE-1997-DeLineZS #case study #experience #interactive #lessons learnt

Lessons on Converting Batch Systems to Support Interaction (Experience Report) (RD, GZ, MS), pp. 195–204.

OOPSLA-1994-BogleL #using

Reducing Cross Domain Call Overhead using Batched Futures (PB, BL), pp. 341–354.

ML-1989-ClearwaterCHB #incremental #learning

Incremental Batch Learning (SHC, TPC, HH, BGB), pp. 366–370.

ICALP-1984-Willard #algorithm #difference #problem #retrieval

Sampling Algorithms for Differential Batch Retrieval Problems (Extended Abstract) (DEW), pp. 514–526.

DAC-1983-DalCero #automation #multi

Automatic batch processing in multilayer ceramic metallization (ND), pp. 682–685.

DAC-1980-SmithSTW #automation #design

A tool to support design automation in batch manufacturing (GLS, SAS, LLT, WLW), pp. 367–373.

SIGMOD-1977-LohmanM #policy

Optimal Policy for Batch Operations: Backup, Checkpointing, Reorganization, and Updating (Abstract) (GML, JAM), p. 157.

SIGFIDET-1971-Nijssen #performance #random

Efficient Batch Updating of a Random File (GMN), pp. 173–186.