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» A theory of learning with similarity functions
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JMLR
2006
108views more  JMLR 2006»
14 years 11 months ago
Learning Spectral Clustering, With Application To Speech Separation
Spectral clustering refers to a class of techniques which rely on the eigenstructure of a similarity matrix to partition points into disjoint clusters, with points in the same clu...
Francis R. Bach, Michael I. Jordan

Book
796views
16 years 10 months ago
Introduction to Machine Learning
This is an introductory book about machine learning. Notice that this is a draft book. It may contain typos, mistakes, etc. The book covers the following topics: Boolean Functio...
Nils J. Nilsson
ECTEL
2009
Springer
15 years 6 months ago
Towards a Theory of Socio-technical Interactions
Technology enhanced learning environments are characterized by socio-technical interactions. Socio-technical interactions involve individuals interacting with (a) technologies, and...
Ravi K. Vatrapu
ICIP
2002
IEEE
16 years 1 months ago
DPF - a perceptual distance function for image retrieval
For almost a decade, Content-Based Image Retrieval has been an active research area, yet one fundamental problem remains largely unsolved: how to measure perceptual similarity. To...
Baitao Li Chang, E. Ching-Tung Wu
NIPS
2001
15 years 1 months ago
Rates of Convergence of Performance Gradient Estimates Using Function Approximation and Bias in Reinforcement Learning
We address two open theoretical questions in Policy Gradient Reinforcement Learning. The first concerns the efficacy of using function approximation to represent the state action ...
Gregory Z. Grudic, Lyle H. Ungar