738 search results - page 85 / 148 » More generality in efficient multiple kernel learning |
EUROCAST
2007
Springer
14 years 3 months ago
2007
Springer
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
ICML
2010
IEEE
13 years 10 months ago
2010
IEEE
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
ANCS
2007
ACM
14 years 27 days ago
2007
ACM
Programming specialized network processors (NPU) is inherently difficult. Unlike mainstream processors where architectural features such as out-of-order execution and caches hide ...
WSDM
2012
ACM
12 years 4 months ago
2012
ACM
Many vertical search tasks such as local search focus on specific domains. The meaning of relevance in these verticals is domain-specific and usually consists of multiple well-d...
PEPM
2009
ACM
14 years 5 months ago
2009
ACM
The goal of the Parfait project is to find bugs in C source code in a scalable and precise way. To this end, Parfait was designed as a framework with layers of sound program anal...