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» A theory of learning with similarity functions
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CORR
2006
Springer
96views Education» more  CORR 2006»
15 years 6 months ago
Metric entropy in competitive on-line prediction
Competitive on-line prediction (also known as universal prediction of individual sequences) is a strand of learning theory avoiding making any stochastic assumptions about the way...
Vladimir Vovk
BIBE
2008
IEEE
121views Bioinformatics» more  BIBE 2008»
16 years 23 days ago
Joining retinal vessel segments
—A new method is introduced for joining vessel segments together to form a vessel graph. Using a reference image set from the Sunderland Eye Infirmary, we analysed the retinal b...
Bashir Al-Diri, Andrew Hunter, David Steel, Maged ...
AAAI
2010
15 years 7 months ago
Stability and Incentive Compatibility in a Kernel-Based Combinatorial Auction
We present the design and analysis of an approximately incentive-compatible combinatorial auction. In just a single run, the auction is able to extract enough value information fr...
Sébastien Lahaie
SIGKDD
2002
90views more  SIGKDD 2002»
15 years 6 months ago
Cryptographic Techniques for Privacy-Preserving Data Mining
Research in secure distributed computation, which was done as part of a larger body of research in the theory of cryptography, has achieved remarkable results. It was shown that n...
Benny Pinkas
COLT
2004
Springer
15 years 11 months ago
Graphical Economics
: We introduce a graph-theoretic generalization of classical Arrow-Debreu economics, in which an undirected graph specifies which consumers or economies are permitted to engage in...
Sham Kakade, Michael J. Kearns, Luis E. Ortiz