BibSLEIGH
BibSLEIGH corpus
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Used together with:
use (4)
prefetch (3)
core (3)
learn (3)
filter (2)

Stem aggress$ (all stems)

27 papers:

DATEDATE-2014-PandaB #concurrent #thread
Introducing Thread Criticality awareness in Prefetcher Aggressiveness Control (BP, SB), pp. 1–6.
DATEDATE-2014-RaminiGGBFB #architecture #energy
Assessing the energy break-even point between an optical NoC architecture and an aggressive electronic baseline (LR, AG, PG, SB, HTF, DB), pp. 1–6.
SIGMODSIGMOD-2014-SunFKX #clustering #fine-grained
Fine-grained partitioning for aggressive data skipping (LS, MJF, SK, RSX), pp. 1115–1126.
VLDBVLDB-2014-SunKXF #clustering #framework
A Partitioning Framework for Aggressive Data Skipping (LS, SK, RSX, MJF), pp. 1617–1620.
ESOPESOP-2014-Fu #abstraction #analysis #memory management
Targeted Update — Aggressive Memory Abstraction Beyond Common Sense and Its Application on Static Numeric Analysis (ZF), pp. 534–553.
CHICHI-2014-HongMD #behaviour #framework
A smartphone-based sensing platform to model aggressive driving behaviors (JHH, BM, AKD), pp. 4047–4056.
HCILCT-TRE-2014-BosseP #towards
Towards Aggression De-escalation Training with Virtual Agents: A Computational Model (TB, SP), pp. 375–387.
ICMLICML-c1-2014-ShiZ #learning #online
Online Bayesian Passive-Aggressive Learning (TS, JZ), pp. 378–386.
HPCAHPCA-2014-PugsleyCWCSJLCB #evaluation #runtime
Sandbox Prefetching: Safe run-time evaluation of aggressive prefetchers (SHP, ZC, CW, PfC, RLS, AJ, SLL, KC, RB), pp. 626–637.
ICMLICML-c1-2013-GonenSS #approach #learning #performance
Efficient Active Learning of Halfspaces: an Aggressive Approach (AG, SS, SSS), pp. 480–488.
HPCAHPCA-2013-AnsariFGTM #lightweight #named
Illusionist: Transforming lightweight cores into aggressive cores on demand (AA, SF, SG, JT, SAM), pp. 436–447.
VLDBVLDB-2012-DittrichQRSJS #performance
Only Aggressive Elephants are Fast Elephants (JD, JAQR, SR, SS, AJ, JS), pp. 1591–1602.
ICPRICPR-2012-LuoKM #3d #using
Endoscope 3-D motion tracking using an aggressive particle filtering for boosting electromagnetic guidance endoscopy (XL, TK, KM), pp. 117–120.
ICPRICPR-2012-MoriyamaAS #analysis #using
Face analysis of aggressive moods in automobile driving using mutual subspace method (TM, KA, NS), pp. 2898–2901.
ASPLOSASPLOS-2012-GovindanWSU #energy
Leveraging stored energy for handling power emergencies in aggressively provisioned datacenters (SG, DW, AS, BU), pp. 75–86.
ICEISICEIS-v4-2011-Jung #comprehension #game studies #video
Understanding Media Violence from a Role-play Perspective — Effects of Various Types of Violent Video Games on Players’ Cognitive Aggression (YJ), pp. 261–266.
HPDCHPDC-2011-AlvarezBGMNA #design #replication
Design space exploration for aggressive core replication schemes in CMPs (LA, RB, MG, XM, NN, EA), pp. 269–270.
ICSTICST-2011-SantelicesH #testing
Applying aggressive propagation-based strategies for testing changes (RAS, MJH), pp. 11–20.
DACDAC-2010-ChenDC #synthesis
Clock tree synthesis under aggressive buffer insertion (YYC, CD, DC), pp. 86–89.
SIGIRSIGIR-2010-MojdehC #consistency #learning #using
Semi-supervised spam filtering using aggressive consistency learning (MM, GVC), pp. 751–752.
DATEDATE-2009-SasanHEK #process #scalability
Process Variation Aware SRAM/Cache for aggressive voltage-frequency scaling (AS, HH, AME, FJK), pp. 911–916.
SIGMODSIGMOD-2009-WeiLLGRC
Supporting a spectrum of out-of-order event processing technologies: from aggressive to conservative methodologies (MW, ML, ML, DG, EAR, KTC), pp. 1031–1034.
POPLPOPL-2006-MenonGMMSAP #compilation #optimisation #representation
A verifiable SSA program representation for aggressive compiler optimization (VM, NG, BRM, AM, TS, ARAT, LP), pp. 397–408.
ICMLICML-2004-GabrilovichM #categorisation #feature model #using
Text categorization with many redundant features: using aggressive feature selection to make SVMs competitive with C4.5 (EG, SM).
OSDIOSDI-2002-SaitoKKM #file system #replication
Taming Aggressive Replication in the Pangaea Wide-Area File System (YS, CTK, MK, MM), pp. 15–30.
PLDIPLDI-1997-AyersGS
Aggressive Inlining (AA, RG, RS), pp. 134–145.
CCCC-1996-DavidsonJ #compilation #optimisation
Aggressive Loop Unrolling in a Retargetable Optimizing Compiler (JWD, SJ), pp. 59–73.

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.