248 search results - page 13 / 50 » Rate of Convergence for Constrained Stochastic Approximation... |
TSP
2008
13 years 7 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...
CDC
2009
IEEE
14 years 9 days 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...
ICML
2007
IEEE
14 years 8 months 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...
TWC
2008
13 years 7 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...
OL
2011
13 years 2 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...