2683 search results - page 85 / 537 » Machine learning problems from optimization perspective |
120
Voted
ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
We present a large-margin formulation and algorithm for structured output prediction that allows the use of latent variables. Our proposal covers a large range of application prob...
126
Voted
CIKM
2000
Springer
15 years 6 months ago
2000
Springer
Naïve Bayes (NB) classifier has long been considered a core methodology in text classification mainly due to its simplicity and computational efficiency. There is an increasing n...
145
Voted
KDD
2006
ACM
16 years 2 months ago
2006
ACM
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
136
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ALT
1997
Springer
15 years 6 months ago
1997
Springer
Efficient learning of DFA is a challenging research problem in grammatical inference. It is known that both exact and approximate (in the PAC sense) identifiability of DFA is har...
114
Voted
ICML
2009
IEEE
15 years 9 months ago
2009
IEEE
The maximum margin clustering approach is a recently proposed extension of the concept of support vector machines to the clustering problem. Briefly stated, it aims at finding a...