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132
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KDD
2009
ACM
173views Data Mining» more  KDD 2009»
16 years 4 months ago
The offset tree for learning with partial labels
We present an algorithm, called the offset tree, for learning in situations where a loss associated with different decisions is not known, but was randomly probed. The algorithm i...
Alina Beygelzimer, John Langford
138
Voted
WIA
2005
Springer
15 years 9 months ago
Learning Stochastic Finite Automata for Musical Style Recognition
Abstract. Stochastic deterministic finite automata have been introduced and are used in a variety of settings. We use them to model musical styles: a same automaton can be used to...
Colin de la Higuera, Frédéric Piat, ...
148
Voted
AGENTS
1999
Springer
15 years 8 months ago
Learning to Remove Internet Advertisements
This paper discusses improving the methodology introduced in Kushmerick’s paper about learning to remove internet advertisements. The aim is to reduce the model build time as we...
Nicholas Kushmerick
131
Voted
AUSAI
2007
Springer
15 years 7 months ago
Elements of a Learning Interface for Genre Qualified Search
Even prior to content, the genre of a web document leads to a first coarse binary classification of the recall space in relevant and non-relevant documents. Thinking of a genre se...
Andrea Stubbe, Christoph Ringlstetter, Randy Goebe...
138
Voted
AI
2006
Springer
15 years 7 months ago
Language Patterns in the Learning of Strategies from Negotiation Texts
The paper shows how to construct language patterns that signal influence strategies and tactical moves corresponding to such strategies. We apply corpus analysis methods to the ext...
Marina Sokolova, Stan Szpakowicz