BibSLEIGH
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Used together with:
learn (3)
base (3)
effici (2)
top (2)
databas (2)

Stem typic$ (all stems)

17 papers:

DACDAC-2014-QuintonBHNNE #analysis #design #network
Typical Worst Case Response-Time Analysis and its Use in Automotive Network Design (SQ, TTB, JH, MN, MN, RE), p. 6.
MSRMSR-2014-TiarksM #development #how #mobile #question #tutorial
How does a typical tutorial for mobile development look like? (RT, WM), pp. 272–281.
CASECASE-2011-LiuZCHZ #energy #evaluation #optimisation #simulation
Simulation based evaluation and optimization for energy consumption of a typical welding shop (HL, QZ, WC, NH, XZ), pp. 660–665.
CIKMCIKM-2010-CaiLLTL #recommendation
Recommendation based on object typicality (YC, HfL, QL, JT, JL), pp. 1529–1532.
SIGMODSIGMOD-2009-GeZM #nondeterminism #query
Top-k queries on uncertain data: on score distribution and typical answers (TG, SBZ, SM), pp. 375–388.
ICPCICPC-2008-AlaliKM #commit #open source #repository #what
What’s a Typical Commit? A Characterization of Open Source Software Repositories (AA, HHK, JIM), pp. 182–191.
VLDBVLDB-2007-HuaPFLL #database #query #scalability
Efficiently Answering Top-k Typicality Queries on Large Databases (MH, JP, AWCF, XL, HfL), pp. 890–901.
WCREWCRE-2007-MarinMD
Documenting Typical Crosscutting Concerns (MM, LM, AvD), pp. 31–40.
STOCSTOC-2004-BeierV #optimisation
Typical properties of winners and losers in discrete optimization (RB, BV), pp. 343–352.
ITiCSEITiCSE-2003-Trakhtenbrot #analysis #concept #how
Analysis of typical misconceptions in a theoretical CS course, and how to address them in e-learning (MBT), p. 241.
AdaSIGAda-2003-Rosen #case study #database #experience #web
Experiences in developing a typical web/database application (JPR), pp. 38–48.
CAiSECAiSE-2001-FurtadoC #library
Constructing Libraries of Typical Plans (ALF, AEMC), pp. 124–139.
HPDCHPDC-2001-HumphreyT #grid #security
Security Implications of Typical Grid Computing Usage Scenarios (MH, MRT), pp. 95–103.
AGTIVEAGTIVE-1999-ZamperoniE #aspect-oriented #exclamation #experience #graph grammar #integration #re-engineering #term rewriting #using
Formal Integration of Software Engineering Aspects Using Graph Rewrite Systems — A Typical Experience?! (AZ, GE), pp. 359–367.
SIGIRSIGIR-1998-WangL #approach #documentation #roadmap
Discovering Typical Structures of Documents: A Road Map Approach (KW, HL), pp. 146–154.
STOCSTOC-1993-FreundKRRSS #automaton #finite #learning #performance #random
Efficient learning of typical finite automata from random walks (YF, MJK, DR, RR, RES, LS), pp. 315–324.
ICMLML-1992-Zhang #learning
Selecting Typical Instances in Instance-Based Learning (JZ), pp. 470–479.

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.