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JMLR
2010
107views more  JMLR 2010»
13 years 2 months ago
Learning Instance-Specific Predictive Models
This paper introduces a Bayesian algorithm for constructing predictive models from data that are optimized to predict a target variable well for a particular instance. This algori...
Shyam Visweswaran, Gregory F. Cooper
JMLR
2010
230views more  JMLR 2010»
13 years 2 months ago
Learning Dissimilarities for Categorical Symbols
In this paper we learn a dissimilarity measure for categorical data, for effective classification of the data points. Each categorical feature (with values taken from a finite set...
Jierui Xie, Boleslaw K. Szymanski, Mohammed J. Zak...
JMLR
2010
129views more  JMLR 2010»
13 years 2 months ago
Learning Polyhedral Classifiers Using Logistic Function
In this paper we propose a new algorithm for learning polyhedral classifiers. In contrast to existing methods for learning polyhedral classifier which solve a constrained optimiza...
Naresh Manwani, P. S. Sastry
SPEECH
2010
94views more  SPEECH 2010»
13 years 2 months ago
Predicting the phonetic realizations of word-final consonants in context - A challenge for French grapheme-to-phoneme converters
One of the main problems in developing a text-to-speech (TTS) synthesizer for French lies in grapheme-to-phoneme conversion. Automatic converters produce still too many errors in ...
Josafá de Jesus Aguiar Pontes, Sadaoki Furu...
TCBB
2010
91views more  TCBB 2010»
13 years 2 months ago
SCS: Signal, Context, and Structure Features for Genome-Wide Human Promoter Recognition
This paper integrates the signal, context and structure features for genome-wide promoter recognition, which is critical in many DNA sequence analysis tasks. First, CpG islands ar...
Jia Zeng, Xiaoyu Zhao, Xiao-Qin Cao, Hong Yan