248 search results - page 13 / 50 » Rate of Convergence for Constrained Stochastic Approximation... |
98
Voted
TSP
2008
14 years 11 months ago
2008
Markov random fields are designed to represent structured dependencies among large collections of random variables, and are well-suited to capture the structure of real-world sign...
110
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CDC
2009
IEEE
15 years 4 months ago
2009
IEEE
— This paper addresses model reduction for a Markov chain on a large state space. A simulation-based framework is introduced to perform state aggregation of the Markov chain base...
111
Voted
ICML
2007
IEEE
16 years 14 days ago
2007
IEEE
We present a family of incremental Perceptron-like algorithms (PLAs) with margin in which both the "effective" learning rate, defined as the ratio of the learning rate t...
126
Voted
TWC
2008
14 years 11 months ago
2008
A novel framework was introduced recently for stochastic routing in wireless multihop networks, whereby each node selects a neighbor to forward a packet according to a probability...
131
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OL
2011
14 years 6 months ago
2011
We demonstrate that the Linear Multidimensional Assignment Problem with iid random costs is polynomially "-approximable almost surely (a. s.) via a simple greedy heuristic, f...