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138
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JMLR
2006
15 years 4 months ago
2006
Incremental Support Vector Machines (SVM) are instrumental in practical applications of online learning. This work focuses on the design and analysis of efficient incremental SVM ...
142
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FPL
2009
Springer
15 years 9 months ago
2009
Springer
Restricted Boltzmann Machines (RBMs) — the building block for newly popular Deep Belief Networks (DBNs) — are a promising new tool for machine learning practitioners. However,...
141
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ICML
1997
IEEE
16 years 5 months ago
1997
IEEE
Machine learning techniques are applicable to computer system optimization. We show that shared memory multiprocessors can successfully utilize machine learning algorithms for mem...
173
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DAGSTUHL
2009
15 years 5 months ago
2009
We introduce and discuss the application of statistical physics concepts in the context of on-line machine learning processes. The consideration of typical properties of very large...
146
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ICVGIP
2004
15 years 5 months ago
2004
In this paper we present a simple framework for activity recognition based on a model of multi-layered finite state machines, built on top of a low level image processing module f...