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TNN
1998
89views more  TNN 1998»
15 years 1 months ago
Fast training of recurrent networks based on the EM algorithm
— In this work, a probabilistic model is established for recurrent networks. The EM (expectation-maximization) algorithm is then applied to derive a new fast training algorithm f...
Sheng Ma, Chuanyi Ji
PRL
2007
150views more  PRL 2007»
15 years 1 months ago
A method for initialising the K-means clustering algorithm using kd-trees
We present a method for initialising the K-means clustering algorithm. Our method hinges on the use of a kd-tree to perform a density estimation of the data at various locations. ...
Stephen J. Redmond, Conor Heneghan
ALGOSENSORS
2010
Springer
15 years 15 days ago
MSDR-D Network Localization Algorithm
Abstract. We present a distributed multi-scale dead-reckoning (MSDR-D) algorithm for network localization that utilizes local distance and angular information for nearby sensors. T...
Kevin Coogan, Varun Khare, Stephen G. Kobourov, Ba...
NA
2010
87views more  NA 2010»
14 years 12 months ago
A note on the O(n)-storage implementation of the GKO algorithm and its adaptation to Trummer-like matrices
We propose a new O(n)-space implementation of the GKO-Cauchy algorithm for the solution of linear systems where the coefficient matrix is Cauchy-like. Moreover, this new algorithm...
Federico Poloni
SODA
2010
ACM
143views Algorithms» more  SODA 2010»
14 years 12 months ago
Thin Partitions: Isoperimetric Inequalities and a Sampling Algorithm for Star Shaped Bodies
Star-shaped bodies are an important nonconvex generalization of convex bodies (e.g., linear programming with violations). Here we present an efficient algorithm for sampling a giv...
Karthekeyan Chandrasekaran, Daniel Dadush, Santosh...
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