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» Machine learning problems from optimization perspective
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105
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IJCNN
2007
IEEE
15 years 8 months ago
Analyzing the Fuzzy ARTMAP Matchtracking mechanism with Co-Objective Optimization Theory
— In the process of learning a pattern I, the Fuzzy ARTMAP algorithm templates (i.e., the weight vectors corresponding to nodes of its category representation layer) compete for ...
José Castro, Michael Georgiopoulos, Jimmy S...
106
Voted
SWAP
2008
15 years 3 months ago
Learning SHIQ+log Rules for Ontology Evolution
The definition of new concepts or roles for which extensional knowledge become available can turn out to be necessary to make a DL ontology evolve. In this paper we reformulate thi...
Francesca A. Lisi, Floriana Esposito
105
Voted
ICML
2008
IEEE
16 years 3 months ago
A decoupled approach to exemplar-based unsupervised learning
A recent trend in exemplar based unsupervised learning is to formulate the learning problem as a convex optimization problem. Convexity is achieved by restricting the set of possi...
Gökhan H. Bakir, Sebastian Nowozin
115
Voted
ACL
2001
15 years 3 months ago
Fast Decoding and Optimal Decoding for Machine Translation
A good decoding algorithm is critical to the success of any statistical machine translation system. The decoder's job is to find the translation that is most likely according...
Ulrich Germann, Michael Jahr, Kevin Knight, Daniel...
116
Voted
ICML
2007
IEEE
16 years 3 months ago
Multi-armed bandit problems with dependent arms
We provide a framework to exploit dependencies among arms in multi-armed bandit problems, when the dependencies are in the form of a generative model on clusters of arms. We find ...
Sandeep Pandey, Deepayan Chakrabarti, Deepak Agarw...