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» Machine learning problems from optimization perspective
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ML
2008
ACM
134views Machine Learning» more  ML 2008»
15 years 3 months ago
Multilabel classification via calibrated label ranking
Label ranking studies the problem of learning a mapping from instances to rankings over a predefined set of labels. Hitherto existing approaches to label ranking implicitly operat...
Johannes Fürnkranz, Eyke Hüllermeier, En...
124
Voted
ICML
2006
IEEE
16 years 4 months ago
Nonstationary kernel combination
The power and popularity of kernel methods stem in part from their ability to handle diverse forms of structured inputs, including vectors, graphs and strings. Recently, several m...
Darrin P. Lewis, Tony Jebara, William Stafford Nob...
95
Voted
IJCAI
2003
15 years 4 months ago
Learning Minesweeper with Multirelational Learning
Minesweeper is a one-person game which looks deceptively easy to play, but where average human performance is far from optimal. Playing the game requires logical, arithmetic and p...
Lourdes Peña Castillo, Stefan Wrobel
163
Voted
ATAL
1999
Springer
15 years 7 months ago
Towards a Distributed, Environment-Centered Agent Framework
Abstract. This paper will discuss the internal architecture for an agent framework called DECAF (Distributed Environment Centered Agent Framework). DECAF is a software toolkit for ...
John R. Graham, Keith Decker
131
Voted
WISE
2005
Springer
15 years 9 months ago
A Formal Ontology Reasoning with Individual Optimization: A Realization of the Semantic Web
Abstract. Answering a query over a group of RDF data pages is a trivial process. However, in the Semantic Web, there is a need for ontology technology. Consequently, OWL, a family ...
Pakornpong Pothipruk, Guido Governatori