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» Approximate Learning of Dynamic Models
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128
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KDD
2004
ACM
166views Data Mining» more  KDD 2004»
16 years 3 months ago
Predicting prostate cancer recurrence via maximizing the concordance index
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
Lian Yan, David Verbel, Olivier Saidi
112
Voted
WSDM
2009
ACM
161views Data Mining» more  WSDM 2009»
15 years 9 months ago
Predicting the readability of short web summaries
Readability is a crucial presentation attribute that web summarization algorithms consider while generating a querybaised web summary. Readability quality also forms an important ...
Tapas Kanungo, David Orr
118
Voted
HICSS
2008
IEEE
165views Biometrics» more  HICSS 2008»
15 years 9 months ago
Can a P2P File-Sharing Network Become an e-Marketplace?
The prevalence of P2P technology contributes the ease of file-sharing, but it also brings some problems such as free-riding and copyright infringement. To solve these problems, ma...
Fu-ren Lin, Hau-ming Lo, Cong-ren Wang
143
Voted
AAAI
2011
14 years 2 months ago
Understanding Natural Language Commands for Robotic Navigation and Mobile Manipulation
This paper describes a new model for understanding natural language commands given to autonomous systems that perform navigation and mobile manipulation in semi-structured environ...
Stefanie Tellex, Thomas Kollar, Steven Dickerson, ...
111
Voted
ICRA
2003
IEEE
165views Robotics» more  ICRA 2003»
15 years 8 months ago
Multi-robot task-allocation through vacancy chains
Existing task allocation algorithms generally do not consider the effects of task interaction, such as interference, but instead assume that tasks are independent. That assumptio...
Torbjørn S. Dahl, Maja J. Mataric, Gaurav S...