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IJCAI
2001
13 years 9 months ago
Refining the Structure of a Stochastic Context-Free Grammar
We present a machine learning algorithm for refining the structure of a stochastic context
Joseph Bockhorst, Mark Craven
ASC
2011
13 years 2 months ago
A note on the learning automata based algorithms for adaptive parameter selection in PSO
: PSO, like many stochastic search methods, is very sensitive to efficient parameter setting such that modifying a single parameter may cause a considerable change in the result. I...
Ali B. Hashemi, Mohammad Reza Meybodi
NIPS
2003
13 years 8 months ago
Learning Curves for Stochastic Gradient Descent in Linear Feedforward Networks
Gradient-following learning methods can encounter problems of implementation in many applications, and stochastic variants are frequently used to overcome these difficulties. We ...
Justin Werfel, Xiaohui Xie, H. Sebastian Seung
CORR
2008
Springer
103views Education» more  CORR 2008»
13 years 7 months ago
The Capacity Region of the Degraded Finite-State Broadcast Channel
We consider the discrete, time-varying broadcast channel with memory, under the assumption that the channel states belong to a set of nite cardinality. We begin with the de nition...
Ron Dabora, Andrea J. Goldsmith
ICML
2006
IEEE
14 years 8 months ago
Probabilistic inference for solving discrete and continuous state Markov Decision Processes
Inference in Markov Decision Processes has recently received interest as a means to infer goals of an observed action, policy recognition, and also as a tool to compute policies. ...
Marc Toussaint, Amos J. Storkey