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JMLR
2010
125views more  JMLR 2010»
13 years 2 months ago
Stochastic Complexity and Generalization Error of a Restricted Boltzmann Machine in Bayesian Estimation
In this paper, we consider the asymptotic form of the generalization error for the restricted Boltzmann machine in Bayesian estimation. It has been shown that obtaining the maximu...
Miki Aoyagi
ECML
2007
Springer
14 years 1 months ago
Separating Precision and Mean in Dirichlet-Enhanced High-Order Markov Models
Abstract. Robustly estimating the state-transition probabilities of highorder Markov processes is an essential task in many applications such as natural language modeling or protei...
Rikiya Takahashi
ICML
2008
IEEE
14 years 8 months ago
Hierarchical sampling for active learning
We present an active learning scheme that exploits cluster structure in data.
Sanjoy Dasgupta, Daniel Hsu
ICML
1999
IEEE
14 years 8 months ago
Hierarchical Models for Screening of Iron Deficiency Anemia
Igor V. Cadez, Christine E. McLaren, Padhraic Smyt...
ICRA
2009
IEEE
148views Robotics» more  ICRA 2009»
13 years 5 months ago
Dynamic path planning with multi-agent data fusion - The Parallel Hierarchical Replanner
The design of a hierarchical planning system in which each level operates in parallel and communicates asynchronously is presented. It is shown that this Parallel Hierarchical Repl...
Thomas Allen, Andrew Hill, James Patrick Underwood...