358 search results - page 67 / 72 » Learning from labeled and unlabeled data on a directed graph |
UAI
2003
15 years 1 months ago
2003
Continuous time Bayesian networks (CTBN) describe structured stochastic processes with finitely many states that evolve over continuous time. A CTBN is a directed (possibly cycli...
124
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ACCV
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. We propose an algorithm for Sparse Bayesian Classification for multi-class problems using Automatic Relevance Determination(ARD). Unlike other approaches which treat mult...
AAAI
2000
15 years 1 months ago
2000
We introduce the notion of restricted Bayes optimal classifiers. These classifiers attempt to combine the flexibility of the generative approach to classification with the high ac...
127
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SIGIR
2008
ACM
14 years 11 months ago
2008
ACM
We study in this paper the problem of bridging the semantic gap between low-level image features and high-level semantic concepts, which is the key hindrance in content-based imag...
102
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KDD
2004
ACM
16 years 4 days ago
2004
ACM
We report on an automated runtime anomaly detection method at the application layer of multi-node computer systems. Although several network management systems are available in th...