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JAL
2008
83views more  JAL 2008»
15 years 6 months ago
Objective Bayesian probabilistic logic
This paper develops connections between objective Bayesian epistemology--which holds that the strengths of an agent's beliefs should be representable by probabilities, should...
Jon Williamson
CIE
2004
Springer
15 years 6 months ago
University of Southern California's Institute for Creative Technologies
When dealing with large, distributed systems that use state-of-the-art components, individual components are usually developed in parallel. As development continues, the decouplin...
Michael van Lent
ICMLA
2009
15 years 4 months ago
Text Classification Methodologies Applied to Micro-Text in Military Chat
We propose methods to classify lines of military chat, or posts, which contain items of interest. We evaluated several current text categorization and feature selection methodologi...
Kevin Dela Rosa, Jeffrey Ellen
JMLR
2012
13 years 9 months ago
Perturbation based Large Margin Approach for Ranking
We consider the task of devising large-margin based surrogate losses for the learning to rank problem. In this learning to rank setting, the traditional hinge loss for structured ...
Eunho Yang, Ambuj Tewari, Pradeep D. Ravikumar
KDD
2007
ACM
169views Data Mining» more  KDD 2007»
16 years 7 months ago
Exploiting underrepresented query aspects for automatic query expansion
Users attempt to express their search goals through web search queries. When a search goal has multiple components or aspects, documents that represent all the aspects are likely ...
Daniel Crabtree, Peter Andreae, Xiaoying Gao