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» Position Paper: Ontology Learning from Folksonomies
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ICML
2002
IEEE
14 years 9 months ago
Multi-Instance Kernels
Learning from structured data is becoming increasingly important. However, most prior work on kernel methods has focused on learning from attribute-value data. Only recently, rese...
Adam Kowalczyk, Alex J. Smola, Peter A. Flach, Tho...
AAAI
2012
11 years 11 months ago
Learning the Kernel Matrix with Low-Rank Multiplicative Shaping
Selecting the optimal kernel is an important and difficult challenge in applying kernel methods to pattern recognition. To address this challenge, multiple kernel learning (MKL) ...
Tomer Levinboim, Fei Sha
SEMWEB
2004
Springer
14 years 2 months ago
SemanticOrganizer: A Customizable Semantic Repository for Distributed NASA Project Teams
SemanticOrganizer is a collaborative knowledge management system designed to support distributed NASA projects, including multidisciplinary teams of scientists, engineers, and acci...
Richard M. Keller, Daniel C. Berrios, Robert E. Ca...
AI
2007
Springer
13 years 9 months ago
Multi-agent learning for engineers
As suggested by the title of Shoham, Powers, and Grenager’s position paper [34], the ultimate lens through which the multi-agent learning framework should be assessed is “what...
Shie Mannor, Jeff S. Shamma
ARGMAS
2006
Springer
14 years 16 days ago
Arguments and Counterexamples in Case-Based Joint Deliberation
Multiagent learning can be seen as applying ML techniques to the core issues of multiagent systems, like communication, coordination, and competition. In this paper, we address the...
Santiago Ontañón, Enric Plaza