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JMLR
2006
90views more  JMLR 2006»
13 years 10 months ago
Superior Guarantees for Sequential Prediction and Lossless Compression via Alphabet Decomposition
We present worst case bounds for the learning rate of a known prediction method that is based on hierarchical applications of binary context tree weighting (CTW) predictors. A heu...
Ron Begleiter, Ran El-Yaniv
KES
2006
Springer
13 years 10 months ago
Express Emoticons Choice Method for Smooth Communication of e-Business
For the business communication by email with cellular phones, it has an important weak point. That is to hard to tell to be utterance speed and the pitch of sounds involved in the ...
Nobuo Suzuki, Kazuhiko Tsuda
PAMI
2008
175views more  PAMI 2008»
13 years 10 months ago
Discriminative Feature Co-Occurrence Selection for Object Detection
This paper describes an object detection framework that learns the discriminative co-occurrence of multiple features. Feature co-occurrences are automatically found by Sequential F...
Takeshi Mita, Toshimitsu Kaneko, Björn Stenge...
SIGIR
2008
ACM
13 years 10 months ago
Hierarchical naive bayes models for representing user profiles
In this paper, we show how a user profile can be enhanced when a more detailed description of the products is included. Two main assumptions have been considered: the first implie...
Juan F. Huete, Luis M. de Campos, Juan M. Fern&aac...
BMCBI
2004
112views more  BMCBI 2004»
13 years 10 months ago
Predicting co-complexed protein pairs using genomic and proteomic data integration
Background: Identifying all protein-protein interactions in an organism is a major objective of proteomics. A related goal is to know which protein pairs are present in the same p...
Lan V. Zhang, Sharyl L. Wong, Oliver D. King, Fred...