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» On the Complexity of Theory Curbing
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CIKM
1997
Springer
15 years 6 months ago
Learning Belief Networks from Data: An Information Theory Based Approach
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
Jie Cheng, David A. Bell, Weiru Liu
COLT
2000
Springer
15 years 5 months ago
The Role of Critical Sets in Vapnik-Chervonenkis Theory
In the present paper, we present the theoretical basis, as well as an empirical validation, of a protocol designed to obtain effective VC dimension estimations in the case of a si...
Nicolas Vayatis
JCP
2007
104views more  JCP 2007»
15 years 1 months ago
Cyclic Convolution Algorithm Formulations Using Polynomial Transform Theory
— This work presents a mathematical framework for the development of efficient algorithms for cyclic convolution computations. The framework is based on the Chinese Reminder Theo...
Abraham H. Diaz-Perez, Domingo Rodríguez
IANDC
1998
72views more  IANDC 1998»
15 years 1 months ago
On the Modelling of Search in Theorem Proving - Towards a Theory of Strategy Analysis
We present a model for representing search in theorem proving. This model captures the notion of contraction, which has been central in some of the recent developments in theorem ...
Maria Paola Bonacina, Jieh Hsiang
CSB
2005
IEEE
126views Bioinformatics» more  CSB 2005»
15 years 7 months ago
Identifying Simple Discriminatory Gene Vectors with an Information Theory Approach
In the feature selection of cancer classification problems, many existing methods consider genes individually by choosing the top genes which have the most significant signal-to...
Zheng Yun, Kwoh Chee Keong