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» Local Minimax Learning of Approximately Polynomial Functions
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IJCNN
2007
IEEE
14 years 1 months ago
A Functional Link Network With Ordered Basis Functions
—A procedure is presented for selecting and ordering the polynomial basis functions in the functional link net (FLN). This procedure, based upon a modified Gram Schmidt orthonorm...
Saurabh Sureka, Michael T. Manry
ICALP
2007
Springer
14 years 1 months ago
Private Multiparty Sampling and Approximation of Vector Combinations
We consider the problem of private efficient data mining of vertically-partitioned databases. Each of several parties holds a column of a data matrix (a vector) and the parties wan...
Yuval Ishai, Tal Malkin, Martin J. Strauss, Rebecc...
VMV
2000
119views Visualization» more  VMV 2000»
13 years 8 months ago
Orientation Estimation Based on Weighted Projection onto Quadratic Polynomials
Essentially all Computer Vision strategies require initial computation of orientation structure or motion estimation. Although much work has been invested in this subfield, method...
Gunnar Farnebäck
COLT
2004
Springer
14 years 26 days ago
Graphical Economics
: We introduce a graph-theoretic generalization of classical Arrow-Debreu economics, in which an undirected graph specifies which consumers or economies are permitted to engage in...
Sham Kakade, Michael J. Kearns, Luis E. Ortiz
ESANN
2008
13 years 9 months ago
Multilayer Perceptrons with Radial Basis Functions as Value Functions in Reinforcement Learning
Using multilayer perceptrons (MLPs) to approximate the state-action value function in reinforcement learning (RL) algorithms could become a nightmare due to the constant possibilit...
Victor Uc Cetina