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IJCAI
2007
13 years 10 months ago
Compiling Bayesian Networks by Symbolic Probability Calculation Based on Zero-Suppressed BDDs
Compiling Bayesian networks (BNs) is one of the hot topics in the area of probabilistic modeling and processing. In this paper, we propose a new method of compiling BNs into multi...
Shin-ichi Minato, Ken Satoh, Taisuke Sato
LREC
2008
159views Education» more  LREC 2008»
13 years 10 months ago
Language Resources and Chemical Informatics
Chemistry research papers are a primary source of information about chemistry, as in any scientific field. The presentation of the data is, predominantly, unstructured information...
C. J. Rupp, Ann A. Copestake, Peter Corbett, Peter...
NIPS
2007
13 years 10 months ago
Sparse Feature Learning for Deep Belief Networks
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
Marc'Aurelio Ranzato, Y-Lan Boureau, Yann LeCun
SPIESR
2003
165views Database» more  SPIESR 2003»
13 years 10 months ago
Analysis of musical expression in audio signals
In western art music, composers communicate their work to performers via a standard notation which specificies the musical pitches and relative timings of notes. This notation ma...
Simon Dixon
VCIP
2003
124views Communications» more  VCIP 2003»
13 years 10 months ago
MPEG-7 content-based analysis/retrieval system and its applications
In this paper, we proposed a content-based multimedia analysis/retrieval system basing mainly on the MPEG-7 defined features. Some new and specific features are also included for ...
Jin-Hau Kuo, Ja-Ling Wu