988 search results - page 116 / 198 » Learning with Local and Global Consistency |
167
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ICML
2004
IEEE
16 years 7 months ago
2004
IEEE
The majority of the existing algorithms for learning decision trees are greedy--a tree is induced top-down, making locally optimal decisions at each node. In most cases, however, ...
118
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ICPR
2008
IEEE
16 years 7 months ago
2008
IEEE
We propose a new loss function for discriminative learning of Markov random fields, which is an intermediate loss function between the sequential loss and the pointwise loss. We s...
146
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ICASSP
2011
IEEE
14 years 10 months ago
2011
IEEE
Mobile adaptive networks consist of a collection of nodes with learning and motion abilities that interact with each other locally in order to solve distributed processing and dis...
159
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PODS
2006
ACM
16 years 6 months ago
2006
ACM
Given a document D in the form of an unordered labeled tree, we study the expressibility on D of various fragments of XPath, the core navigational language on XML documents. We gi...
178
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BMCBI
2008
15 years 6 months ago
2008
Background: When analyzing microarray data a primary objective is often to find differentially expressed genes. With empirical Bayes and penalized t-tests the sample variances are...