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ICML
2006
IEEE
14 years 8 months ago
On a theory of learning with similarity functions
Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...
Maria-Florina Balcan, Avrim Blum
20
Voted
EWCBR
1993
Springer
13 years 11 months ago
Explanation-Driven Case-Based Reasoning
Problem solving in weak theory domains should compensate for the lack of strong theories by combining the various other knowledge types involved. Such methods should be able to eff...
Agnar Aamodt
ECCV
2000
Springer
14 years 9 months ago
Estimating the Jacobian of the Singular Value Decomposition: Theory and Applications
The Singular Value Decomposition (SVD) of a matrix is a linear algebra tool that has been successfully applied to a wide variety of domains. The present paper is concerned with the...
Manolis I. A. Lourakis, Théodore Papadopoul...
INFOCOM
2008
IEEE
14 years 2 months ago
Maximizing Resilient Throughput in Peer-to-Peer Network: A Generalized Flow Approach
—A unique challenge in P2P network is that the peer dynamics (departure or failure) cause unavoidable disruption to the downstream peers. While many works have been dedicated to ...
Bin Chang, Yi Cui, Yuan Xue
IRI
2003
IEEE
14 years 27 days ago
Generalizing Interface Design Knowledge: Lessons Learned from Developing a Claims Library
The experience of preparing interface design knowledge to be reusable allows reflection on the process, potential, and general challenges of effectively and efficiently using this...
Catherine Payne, C. F. Allgood, Christa M. Chewar,...