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ICML
2007
IEEE
16 years 7 months ago
Dirichlet aggregation: unsupervised learning towards an optimal metric for proportional data
Proportional data (normalized histograms) have been frequently occurring in various areas, and they could be mathematically abstracted as points residing in a geometric simplex. A...
Hua-Yan Wang, Hongbin Zha, Hong Qin
ICML
2002
IEEE
16 years 7 months ago
Coordinated Reinforcement Learning
We present several new algorithms for multiagent reinforcement learning. A common feature of these algorithms is a parameterized, structured representation of a policy or value fu...
Carlos Guestrin, Michail G. Lagoudakis, Ronald Par...
KDD
2006
ACM
163views Data Mining» more  KDD 2006»
16 years 7 months ago
New EM derived from Kullback-Leibler divergence
We introduce a new EM framework in which it is possible not only to optimize the model parameters but also the number of model components. A key feature of our approach is that we...
Longin Jan Latecki, Marc Sobel, Rolf Lakämper
ICFP
2007
ACM
16 years 6 months ago
A generic usage analysis with subeffect qualifiers
Sharing analysis and uniqueness typing are static analyses that aim at determining which of a program's objects are to be used at most once. There are many commonalities betw...
Jurriaan Hage, Stefan Holdermans, Arie Middelkoop
ICFP
2006
ACM
16 years 6 months ago
Context-parametric polykinded types
Generic Haskell is a language extension of Haskell for polytypic programming. Constrained types are parametric algebraic types with at least one argument constrained by type-class...
Pablo Nogueira