3718 search results - page 22 / 744 » On learning with dissimilarity functions |
114
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ICML
2004
IEEE
15 years 7 months ago
2004
IEEE
The effort necessary to construct labeled sets of examples in a supervised learning scenario is often disregarded, though in many applications, it is a time-consuming and expensi...
100
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ICML
2009
IEEE
16 years 2 months ago
2009
IEEE
The kernel Perceptron is an appealing online learning algorithm that has a drawback: whenever it makes an error it must increase its support set, which slows training and testing ...
97
Voted
CANDC
2002
ACM
15 years 1 months ago
2002
ACM
To contribute to HCI investigation and interface design that develops interactive systems for creative solutions, I attempt to formulate a model of the human capability to combine...
115
Voted
ICML
2009
IEEE
16 years 2 months ago
2009
IEEE
In this paper, we introduce a generic framework for semi-supervised kernel learning. Given pairwise (dis-)similarity constraints, we learn a kernel matrix over the data that respe...
101
Voted
ICML
2007
IEEE
16 years 2 months ago
2007
IEEE
Basis functions derived from an undirected graph connecting nearby samples from a Markov decision process (MDP) have proven useful for approximating value functions. The success o...