BibSLEIGH
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Used together with:
learn (5)
design (3)
code (2)
navig (2)
algorithm (2)

Stem mistak$ (all stems)

16 papers:

CHICHI-2014-HenleyF #editing #navigation #performance #towards
The patchworks code editor: toward faster navigation with less code arranging and fewer navigation mistakes (AZH, SDF), pp. 2511–2520.
HCIDUXU-DI-2014-StickelPM #design
Cutting Edge Design or a Beginner’s Mistake? — A Semiotic Inspection of iOS7 Icon Design Changes (CS, HMP, JTM), pp. 358–369.
CIKMCIKM-2012-RamanSGB #algorithm #learning #towards
Learning from mistakes: towards a correctable learning algorithm (KR, KMS, RGB, CJCB), pp. 1930–1934.
ICPRICPR-2012-BenJY #analysis #automation #clustering #fuzzy
Automatic fuzzy clustering based on mistake analysis (SB, ZJ, JY), pp. 2914–2917.
CSMRCSMR-2011-NunesGFL #evaluation
Revealing Mistakes in Concern Mapping Tasks: An Experimental Evaluation (CN, AG, EF, CJPdL), pp. 101–110.
ICSTICST-2011-EldhHP #analysis #design #testing
Analysis of Mistakes as a Method to Improve Test Case Design (SE, HH, SP), pp. 70–79.
SACSAC-2009-MacielPRG #identification #web
Identifying discourse mistakes in web debates: moderation in the DCC (CM, VCP, LR, ACBG), pp. 690–691.
ASPLOSASPLOS-2008-LuPSZ #concurrent #debugging #learning
Learning from mistakes: a comprehensive study on real world concurrency bug characteristics (SL, SP, ES, YZ), pp. 329–339.
ICMLICML-2007-TsampoukaS #algorithm #approximate
Approximate maximum margin algorithms with rules controlled by the number of mistakes (PT, JST), pp. 903–910.
ICFPICFP-2004-Graham #debugging #programming
Don’t make the wrong mistakes: programming as debugging (PG), p. 66.
OOPSLAOOPSLA-2004-WeimerN #fault #runtime
Finding and preventing run-time error handling mistakes (WW, GCN), pp. 419–431.
OSDIOSDI-2004-NagarajaOBMN #comprehension #internet
Understanding and Dealing with Operator Mistakes in Internet Services (KN, FO, RB, RPM, TDN), pp. 61–76.
FASEFASE-1998-Jones #what
Some Mistakes I Have and What I Have Learned from Them (CBJ), pp. 7–20.
ICMLICML-1997-Fiechter #bound #learning #online
Expected Mistake Bound Model for On-Line Reinforcement Learning (CNF), pp. 116–124.
ITiCSEITiCSE-1996-Miller #video
Mistakes to avoid in the introduction of compressed video (JEM), pp. 150–152.
CAiSECAiSE-1989-Bergkvist #development #exclamation #idea
The mistakes — where systems development doesn’t support business idea! (TB).

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.