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UAI
1998
15 years 5 months ago
Learning the Structure of Dynamic Probabilistic Networks
Dynamic probabilistic networks are a compact representation of complex stochastic processes. In this paper we examine how to learn the structure of a DPN from data. We extend stru...
Nir Friedman, Kevin P. Murphy, Stuart J. Russell
RIAO
2000
15 years 5 months ago
Prosody Rule for Time Structure of Finger Braille
Finger braille is one of the communication methods for the deaf blind. The fingers of the deaf blind are regarded as keys of a brailler. Finger braille seems to be the most suited...
Manabi Miyagi, Yuji Fujimori, Yasuo Horiuchi, Akir...
UAI
1997
15 years 5 months ago
Sequential Update of Bayesian Network Structure
There is an obvious need for improving the performance and accuracy of a Bayesian network as new data is observed. Because of errors in model construction and changes in the dynam...
Nir Friedman, Moisés Goldszmidt
145
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COLING
1996
15 years 5 months ago
Decision Tree Learning Algorithm with Structured Attributes: Application to Verbal Case Frame Acquisition
The Decision Tree Learning Algorithms (DTLAs) are getting keen attention from the natural language processing research comlnunity, and there have been a series of attempts to appl...
Hideki Tanaka
AMC
2006
79views more  AMC 2006»
15 years 4 months ago
VC-dimension and structural risk minimization for the analysis of nonlinear ecological models
The problem of distinguishing density-independent (DI) from density-dependent (DD) demographic time series is important for understanding the mechanisms that regulate populations ...
Giorgio Corani, Marino Gatto