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» Kernel Machines and Boolean Functions
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COLT
2008
Springer
14 years 11 months ago
Learning Acyclic Probabilistic Circuits Using Test Paths
We define a model of learning probabilistic acyclic circuits using value injection queries, in which an arbitrary subset of wires is set to fixed values, and the value on the sing...
Dana Angluin, James Aspnes, Jiang Chen, David Eise...
UAI
2000
14 years 11 months ago
Variational Relevance Vector Machines
The Support Vector Machine (SVM) of Vapnik [9] has become widely established as one of the leading approaches to pattern recognition and machine learning. It expresses predictions...
Christopher M. Bishop, Michael E. Tipping
PVM
2001
Springer
15 years 2 months ago
An Architecture for a Multi-threaded Harness Kernel
Abstract. Harness is a reconÞgurable, heterogeneous distributed metacomputing framework for the dynamic conÞguration of distributed virtual machines, through the use of parallel ...
Wael R. Elwasif, David E. Bernholdt, James Arthur ...
79
Voted
NIPS
2003
14 years 11 months ago
Sparseness of Support Vector Machines---Some Asymptotically Sharp Bounds
The decision functions constructed by support vector machines (SVM’s) usually depend only on a subset of the training set—the so-called support vectors. We derive asymptotical...
Ingo Steinwart
79
Voted
COLING
2002
14 years 9 months ago
Extracting Word Sequence Correspondences with Support Vector Machines
This paper proposes a learning and extracting method of word sequence correspondences from non-aligned parallel corpora with Support Vector Machines, which have high ability of th...
Kengo Sato, Hiroaki Saito