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» On learning with dissimilarity functions
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83
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ICML
2009
IEEE
15 years 11 months ago
Learning spectral graph transformations for link prediction
We present a unified framework for learning link prediction and edge weight prediction functions in large networks, based on the transformation of a graph's algebraic spectru...
Andreas Lommatzsch, Jérôme Kunegis
77
Voted
ICML
2001
IEEE
15 years 11 months ago
Symmetry in Markov Decision Processes and its Implications for Single Agent and Multiagent Learning
This paper examines the notion of symmetry in Markov decision processes (MDPs). We define symmetry for an MDP and show how it can be exploited for more effective learning in singl...
Martin Zinkevich, Tucker R. Balch
77
Voted
COLT
2010
Springer
14 years 8 months ago
Learning with Global Cost in Stochastic Environments
We consider an online learning setting where at each time step the decision maker has to choose how to distribute the future loss between k alternatives, and then observes the los...
Eyal Even-Dar, Shie Mannor, Yishay Mansour
HICSS
1999
IEEE
72views Biometrics» more  HICSS 1999»
15 years 2 months ago
Software Reliability as a Function of User Execution Patterns
Assessing the reliability of a software system has always been an elusive target. A program may work very well for a number of years and this same program may suddenly become quit...
John C. Munson, Sebastian G. Elbaum
ICIP
2007
IEEE
15 years 12 months ago
Fast Detection of Independent Motion in Crowds Guided by Supervised Learning
Different from appearance-based methods, clustering feature points only by their motion coherence is an emerging category of approach to detecting and tracking individuals among c...
Yuan Li, Haizhou Ai