1474 search results - page 87 / 295 » Using Machine Learning to Focus Iterative Optimization |
116
click to vote
INFORMATICASI
1998
15 years 4 months ago
1998
Decision table decomposition is a machine learning approach that decomposes a given decision table into an equivalent hierarchy of decision tables. The approach aims to discover d...
146
click to vote
CORR
2006
Springer
15 years 4 months ago
2006
Springer
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
125
click to vote
ECML
2007
Springer
15 years 10 months ago
2007
Springer
Choosing a suitable feature representation for structured data is a non-trivial task due to the vast number of potential candidates. Ideally, one would like to pick a small, but in...
132
click to vote
ICML
2004
IEEE
16 years 5 months ago
2004
IEEE
Conditional Random Fields (CRFs; Lafferty, McCallum, & Pereira, 2001) provide a flexible and powerful model for learning to assign labels to elements of sequences in such appl...
134
click to vote
ALT
2010
Springer
15 years 6 months ago
2010
Springer
: In many prediction problems, including those that arise in computer security and computational finance, the process generating the data is best modeled as an adversary with whom ...