2512 search results - page 132 / 503 » Learning from Highly Structured Data by Decomposition |
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UAI
2000
14 years 11 months ago
2000
Decision theory does not traditionally include uncertainty over utility functions. We argue that the a person's utility value for a given outcome can be treated as we treat o...
CIKM
2005
Springer
15 years 3 months ago
2005
Springer
Faced with growing knowledge management needs, enterprises are increasingly realizing the importance of seamlessly integrating critical business information distributed across bot...
ASAP
2006
IEEE
15 years 4 months ago
2006
IEEE
Data-Pipelining is a widely used model to represent streaming applications. Incremental decomposition and optimization of a data-pipelining application onto a multi-processor plat...
IJCAI
2007
14 years 11 months ago
2007
This paper presents an algorithm for inferring a Structured Hidden Markov Model (S-HMM) from a set of sequences. The S-HMMs are a sub-class of the Hierarchical Hidden Markov Model...
CLEIEJ
2007
14 years 10 months ago
2007
Abstract. This paper present a new approach for the analysis of gene expression, by extracting a Markov Chain from trained Recurrent Neural Networks (RNNs). A lot of microarray dat...