104 search results - page 4 / 21 » A Probabilistic Learning Approach to Whole-Genome Operon Pre... |
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
The paper is concerned with learning to rank, which is to construct a model or a function for ranking objects. Learning to rank is useful for document retrieval, collaborative fil...
FLAIRS
2001
14 years 11 months ago
2001
To successfully interact with users in providing useful information, intelligent user interfaces need a mechanism for recognizing, characterizing, and predicting user actions. In ...
IROS
2008
IEEE
15 years 4 months ago
2008
IEEE
— Legged robots require accurate models of their environment in order to plan and execute paths. We present a probabilistic technique based on Gaussian processes that allows terr...
EMNLP
2009
14 years 7 months ago
2009
The work presented in this paper explores a supervised method for learning a probabilistic model of a lexicon of VerbNet classes. We intend for the probabilistic model to provide ...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
Many real-world classification tasks involve the prediction of multiple, inter-dependent class labels. A prototypical case of this sort deals with prediction of a sequence of labe...