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DATE
2010
IEEE
148views Hardware» more  DATE 2010»
15 years 7 months ago
Scoped identifiers for efficient bit aligned logging
Abstract--Detailed diagnostic data is a prerequisite for debugging problems and understanding runtime performance in distributed wireless embedded systems. Severe bandwidth limitat...
Roy Shea, Mani B. Srivastava, Young Cho
125
Voted
ECAI
2004
Springer
15 years 7 months ago
Yet More Efficient EM Learning for Parameterized Logic Programs by Inter-Goal Sharing
Abstract. In previous research, we presented a dynamicprogramming-based EM (expectation-maximization) algorithm for parameterized logic programs, which is based on the structure sh...
Yoshitaka Kameya, Taisuke Sato, Neng-Fa Zhou
125
Voted
IJCAI
2007
15 years 4 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
106
Voted
NIPS
2003
15 years 4 months ago
Clustering with the Connectivity Kernel
Clustering aims at extracting hidden structure in dataset. While the problem of finding compact clusters has been widely studied in the literature, extracting arbitrarily formed ...
Bernd Fischer, Volker Roth, Joachim M. Buhmann
ADCM
2008
136views more  ADCM 2008»
15 years 3 months ago
Learning and approximation by Gaussians on Riemannian manifolds
Learning function relations or understanding structures of data lying in manifolds embedded in huge dimensional Euclidean spaces is an important topic in learning theory. In this ...
Gui-Bo Ye, Ding-Xuan Zhou