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» On a theory of learning with similarity functions
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BMCBI
2010
129views more  BMCBI 2010»
14 years 12 months ago
Detection of distant evolutionary relationships between protein families using theory of sequence profile-profile comparison
Background: Detection of common evolutionary origin (homology) is a primary means of inferring protein structure and function. At present, comparison of protein families represent...
Mindaugas Margelevicius, Ceslovas Venclovas
CVPR
2008
IEEE
16 years 1 months ago
Fast image search for learned metrics
We introduce a method that enables scalable image search for learned metrics. Given pairwise similarity and dissimilarity constraints between some images, we learn a Mahalanobis d...
Prateek Jain, Brian Kulis, Kristen Grauman
NIPS
2004
15 years 1 months ago
Maximising Sensitivity in a Spiking Network
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
Anthony J. Bell, Lucas C. Parra
CEEMAS
2003
Springer
15 years 5 months ago
On a Dynamical Analysis of Reinforcement Learning in Games: Emergence of Occam's Razor
Modeling learning agents in the context of Multi-agent Systems requires an adequate understanding of their dynamic behaviour. Usually, these agents are modeled similar to the diļ¬...
Karl Tuyls, Katja Verbeeck, Sam Maes
ICML
2004
IEEE
16 years 18 days ago
Boosting margin based distance functions for clustering
The performance of graph based clustering methods critically depends on the quality of the distance function, used to compute similarities between pairs of neighboring nodes. In t...
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall