2252 search results - page 28 / 451 » A distributed machine learning framework |
ICML
2007
IEEE
16 years 17 days ago
2007
IEEE
Most current multi-task learning frameworks ignore the robustness issue, which means that the presence of "outlier" tasks may greatly reduce overall system performance. ...
ICML
2009
IEEE
16 years 18 days ago
2009
IEEE
Users of topic modeling methods often have knowledge about the composition of words that should have high or low probability in various topics. We incorporate such domain knowledg...
SEKE
2004
Springer
15 years 5 months ago
2004
Springer
Requirements prioritization plays a key role in the requirements engineering process, in particular with respect to critical tasks such as requirements negotiation and software re...
MLDM
2001
Springer
15 years 4 months ago
2001
Springer
Abstract. This paper proposes a general local learning framework to effectively alleviate the complexities of classifier design by means of “divide and conquer” principle and ...
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FOCI
2007
IEEE
15 years 6 months ago
2007
IEEE
— A learning machine is called singular if its Fisher information matrix is singular. Almost all learning machines used in information processing are singular, for example, layer...