BibSLEIGH
BibSLEIGH corpus
BibSLEIGH tags
BibSLEIGH bundles
BibSLEIGH people
CC-BY
Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
Used together with:
process (14)
schedul (12)
learn (11)
optim (10)
machin (9)

Stem batch$ (all stems)

82 papers:

CASECASE-2015-ShiLGS #problem
Production planning for a class of batch processing problem (ZS, PL, HG, LS), pp. 1188–1193.
ICALPICALP-v1-2015-AronovK #algebra #diagrams #tool support
Batched Point Location in SINR Diagrams via Algebraic Tools (BA, MJK), pp. 65–77.
ICMLICML-2015-IoffeS #network #normalisation
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (SI, CS), pp. 448–456.
KDDKDD-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.
KDDKDD-2015-ZhuangPRH #crowdsourcing
Debiasing Crowdsourced Batches (HZ, AGP, DR, JH), pp. 1593–1602.
PPoPPPPoPP-2015-HaidarDLTD #hardware #linear #towards
Towards batched linear solvers on accelerated hardware platforms (AH, TD, PL, ST, JJD), pp. 261–262.
CASECASE-2014-JiaZAX #analysis
Analysis and improvement of batch-based production lines with Bernoulli machines (ZJ, LZ, JA, GX), pp. 13–18.
CASECASE-2014-Wu #classification
Classifications for batch service queues in production systems (KW), pp. 698–703.
VLDBVLDB-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.
EDOCEDOC-2014-Pufahl0W #process
Batch Regions: Process Instance Synchronization Based on Data (LP, AM, MW), pp. 150–159.
KDDKDD-2014-DundarYR #identification #towards
Batch discovery of recurring rare classes toward identifying anomalous samples (MD, HZY, BR), pp. 223–232.
KDDKDD-2014-LiZCS #optimisation #performance #probability
Efficient mini-batch training for stochastic optimization (ML, TZ, YC, AJS), pp. 661–670.
KDDKDD-2014-Ting #approximate
Streamed approximate counting of distinct elements: beating optimal batch methods (DT), pp. 442–451.
PPoPPPPoPP-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.
CASECASE-2013-JiaJL #algorithm #scheduling
A job-family-oriented algorithm for re-entrant batch processing machine scheduling (WJ, ZJ, YL), pp. 1022–1027.
CHICHI-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.
ICMLICML-c1-2013-ChenK #adaptation #learning #optimisation
Near-optimal Batch Mode Active Learning and Adaptive Submodular Optimization (YC, AK), pp. 160–168.
ICMLICML-c3-2013-ChattopadhyayFDPY #learning
Joint Transfer and Batch-mode Active Learning (RC, WF, ID, SP, JY), pp. 253–261.
ICMLICML-c3-2013-TakacBRS
Mini-Batch Primal and Dual Methods for SVMs (MT, ASB, PR, NS), pp. 1022–1030.
KDDKDD-2013-WangY #learning #query
Querying discriminative and representative samples for batch mode active learning (ZW, JY), pp. 158–166.
SACSAC-2013-AnielloQB #data transformation
Input data organization for batch processing in time window based computations (LA, LQ, RB), pp. 363–370.
ICSEICSE-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.
VLDBVLDB-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.
ECIRECIR-2012-GalleR #clustering
Full and Mini-batch Clustering of News Articles with Star-EM (MG, JMR), pp. 494–498.
ICMLICML-2012-AzimiFFBH #coordination #learning
Batch Active Learning via Coordinated Matching (JA, AF, XZF, GB, BH), p. 44.
ICMLICML-2012-AzimiJF #hybrid #optimisation
Hybrid Batch Bayesian Optimization (JA, AJ, XZF), p. 45.
ICMLICML-2012-CotterSS #kernel #probability
The Kernelized Stochastic Batch Perceptron (AC, SSS, NS), p. 98.
ICPRICPR-2012-YangLZC #image #learning #multi #retrieval
Multi-view learning with batch mode active selection for image retrieval (WY, GL, LZ, EC), pp. 979–982.
KDDKDD-2012-ChattopadhyayWFDPY #probability
Batch mode active sampling based on marginal probability distribution matching (RC, ZW, WF, ID, SP, JY), pp. 741–749.
CASECASE-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.
SIGMODSIGMOD-2011-SilbersteinSZC #case study #experience
A batch of PNUTS: experiences connecting cloud batch and serving systems (AS, RS, WZ, BFC), pp. 1101–1112.
ICEISICEIS-v1-2011-RamirezC #fault #process #using
Fault Diagnosis of Batch Processes Release using PCA Contribution Plots as Fault Signatures (AWR, JCL), pp. 223–228.
CASECASE-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.
CASECASE-2010-ParkB
Utility-based dynamic control of batch processing systems (HP, AB), pp. 439–444.
KDIRKDIR-2010-JedrzejczakW #generative #query #using
Integrated Candidate Generation in Processing Batches of Frequent Itemset Queries using Apriori (PJ, MW), pp. 487–490.
HPDCHPDC-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.
CASECASE-2009-LiQW #parallel #scheduling
ACO-based scheduling of parallel batch processing machines to minimize the total weighted tardiness (LL, FQ, QW), pp. 280–285.
CASECASE-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.
ICMLICML-2009-DoLF #learning #online
Proximal regularization for online and batch learning (CBD, QVL, CSF), pp. 257–264.
ECOOPECOOP-2009-IbrahimJTC #composition
Remote Batch Invocation for Compositional Object Services (AI, YJ, ET, WRC), pp. 595–617.
ICSTICST-2009-ChangRV #resource management #testing
Optimal Resource Allocation for Batch Testing (FC, JR, RV), pp. 91–100.
CASECASE-2008-LiQ #scheduling
ACO-based scheduling for a single Batch Processing Machine in semiconductor manufacturing (LL, FQ), pp. 85–90.
CASECASE-2008-WangLABH #analysis #flexibility #quality
Quality analysis in flexible manufacturing systems with batch productions (JW, JL, JA, SB, NH), pp. 460–465.
VLDBVLDB-2008-GuravannavarS
Rewriting procedures for batched bindings (RG, SS), pp. 1107–1123.
ICMLICML-2008-LazaricRB #learning
Transfer of samples in batch reinforcement learning (AL, MR, AB), pp. 544–551.
SACSAC-2008-MattosLFM #clustering #documentation #framework #named
BigBatch: a document processing platform for clusters and grids (GdOM, RDL, AdAF, FMJM), pp. 434–441.
HPDCHPDC-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.
HPDCHPDC-2008-SotomayorKF #execution #using #virtual machine
Combining batch execution and leasing using virtual machines (BS, KK, ITF), pp. 87–96.
PPoPPPPoPP-2008-NurmiWB #parallel #probability
Probabilistic advanced reservations for batch-scheduled parallel machines (DN, RW, JB), pp. 289–290.
CASECASE-2007-DingAS #modelling #probability
Stochastic Modeling for Serial-Batching Workstations with Heterogeneous Machines (SD, RAT, JGS), pp. 77–81.
CASECASE-2007-DingSA #modelling #probability
Stochastic Modeling for Serial-Batching Workstations with Heterogeneous Machines (SD, JGS, RAT), p. 91–?.
ICMLICML-2007-HaiderBS #clustering #detection #email #streaming
Supervised clustering of streaming data for email batch detection (PH, UB, TS), pp. 345–352.
CASECASE-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.
CASECASE-2006-XiaoX #modelling #monitoring #process
Monitoring of batch processes with non-linear modeling methods (YX, BX), pp. 140–143.
ICMLICML-2006-HoiJZL #classification #image #learning
Batch mode active learning and its application to medical image classification (SCHH, RJ, JZ, MRL), pp. 417–424.
ICMLICML-2006-ShengL #algorithm #testing
Feature value acquisition in testing: a sequential batch test algorithm (VSS, CXL), pp. 809–816.
HPDCHPDC-2006-Casanova #on the
On the Harmfulness of Redundant Batch Requests (HC), pp. 255–266.
HPDCHPDC-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.
PPoPPPPoPP-2006-BrevikNW #bound #parallel #predict
Predicting bounds on queuing delay for batch-scheduled parallel machines (JB, DN, RW), pp. 110–118.
CASECASE-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.
DocEngDocEng-2005-LinsA #documentation #named
BigBatch: a toolbox for monochromatic documents (RDL, BTÁ), pp. 239–240.
STOCSTOC-2004-IshaiKOS
Batch codes and their applications (YI, EK, RO, AS), pp. 262–271.
CIKMCIKM-2004-LiuRF #maintenance
Restructuring batch view maintenance efficiently (BL, EAR, DF), pp. 228–229.
ICMLICML-2004-Shalev-ShwartzSN #learning #online #pseudo
Online and batch learning of pseudo-metrics (SSS, YS, AYN).
HPDCHPDC-2003-ThainBAAL #grid #pipes and filters
Pipeline and Batch Sharing in Grid Workloads (DT, JB, ACAD, RHAD, ML), pp. 152–161.
STOCSTOC-2002-Bachmat #analysis #scheduling #sequence
Average case analysis for batched disk scheduling and increasing subsequences (EB), pp. 277–286.
CIKMCIKM-2002-LiuCR #maintenance
Batch data warehouse maintenance in dynamic environments (BL, SC, EAR), pp. 68–75.
SIGIRSIGIR-2002-TurpinH #user interface
User interface effects in past batch versus user experiments (AT, WRH), pp. 431–432.
HPDCHPDC-2002-MockYPFT #generative #web #web service
A Batch Script Generator Web Service for Computational Portals (SM, CHY, MEP, GF, MT), p. 421.
KDDKDD-2001-OzaR #online
Experimental comparisons of online and batch versions of bagging and boosting (NCO, SJR), pp. 359–364.
SIGIRSIGIR-2001-TurpinH #why
Why Batch and User Evaluations Do Not Give the Same Results (AT, WRH), pp. 225–231.
SACSAC-2001-KimW
Batch-construction of B+-trees (SWK, HSW), pp. 231–235.
SIGIRSIGIR-2000-HershTPCKSO #evaluation #question
Do batch and user evaluation give the same results? (WRH, AT, SP, BC, DK, LS, DO), pp. 17–24.
SACSAC-1997-LuL #protocol
A negotiation protocol for batch task assignments in dynamic load distribution (CL, SML), pp. 447–453.
ICSEICSE-1997-DeLineZS #case study #experience #interactive #lessons learnt
Lessons on Converting Batch Systems to Support Interaction (Experience Report) (RD, GZ, MS), pp. 195–204.
OOPSLAOOPSLA-1994-BogleL #using
Reducing Cross Domain Call Overhead using Batched Futures (PB, BL), pp. 341–354.
ICMLML-1989-ClearwaterCHB #incremental #learning
Incremental Batch Learning (SHC, TPC, HH, BGB), pp. 366–370.
ICALPICALP-1984-Willard #algorithm #difference #problem #retrieval
Sampling Algorithms for Differential Batch Retrieval Problems (Extended Abstract) (DEW), pp. 514–526.
DACDAC-1983-DalCero #automation #multi
Automatic batch processing in multilayer ceramic metallization (ND), pp. 682–685.
DACDAC-1980-SmithSTW #automation #design
A tool to support design automation in batch manufacturing (GLS, SAS, LLT, WLW), pp. 367–373.
SIGMODSIGMOD-1977-LohmanM #policy
Optimal Policy for Batch Operations: Backup, Checkpointing, Reorganization, and Updating (Abstract) (GML, JAM), p. 157.
SIGMODSIGFIDET-1971-Nijssen #performance #random
Efficient Batch Updating of a Random File (GMN), pp. 173–186.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.