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128
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CHI
2009
ACM
16 years 4 months ago
Why and why not explanations improve the intelligibility of context-aware intelligent systems
Context-aware intelligent systems employ implicit inputs, and make decisions based on complex rules and machine learning models that are rarely clear to users. Such lack of system...
Brian Y. Lim, Anind K. Dey, Daniel Avrahami
117
Voted
KDD
2006
ACM
118views Data Mining» more  KDD 2006»
16 years 4 months ago
Reducing the human overhead in text categorization
Many applications in text processing require significant human effort for either labeling large document collections (when learning statistical models) or extrapolating rules from...
Arnd Christian König, Eric Brill
103
Voted
KDD
2005
ACM
103views Data Mining» more  KDD 2005»
16 years 4 months ago
Fast discovery of unexpected patterns in data, relative to a Bayesian network
We consider a model in which background knowledge on a given domain of interest is available in terms of a Bayesian network, in addition to a large database. The mining problem is...
Szymon Jaroszewicz, Tobias Scheffer
126
Voted
KDD
2002
ACM
149views Data Mining» more  KDD 2002»
16 years 4 months ago
A system for real-time competitive market intelligence
A method is described for real-time market intelligence and competitive analysis. News stories are collected online for a designated group of companies. The goal is to detect crit...
Sholom M. Weiss, Naval K. Verma
255
Voted
POPL
2004
ACM
16 years 4 months ago
Abstractions from proofs
stractions from Proofs Ranjit Jhala1 Kenneth L. McMillan2 1 UC San Diego 2 Cadence Berkeley Laboratories We present a technique for using infeasible program paths to automatically ...
Thomas A. Henzinger, Ranjit Jhala, Rupak Majumdar,...
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