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GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
15 years 3 months ago
Not all linear functions are equally difficult for the compact genetic algorithm
Estimation of distribution algorithms (EDAs) try to solve an optimization problem by finding a probability distribution focussed around its optima. For this purpose they conduct ...
Stefan Droste
ATAL
2004
Springer
15 years 3 months ago
Fitting and Compilation of Multiagent Models through Piecewise Linear Functions
Decision-theoretic models have become increasingly popular as a basis for solving agent and multiagent problems, due to their ability to quantify the complex uncertainty and prefe...
David V. Pynadath, Stacy Marsella
ISSAC
2007
Springer
147views Mathematics» more  ISSAC 2007»
15 years 3 months ago
Differential equations for algebraic functions
It is classical that univariate algebraic functions satisfy linear differential equations with polynomial coefficients. Linear recurrences follow for the coefficients of their po...
Alin Bostan, Frédéric Chyzak, Bruno ...
CORR
2010
Springer
141views Education» more  CORR 2010»
14 years 8 months ago
Learning Functions of Few Arbitrary Linear Parameters in High Dimensions
Let us assume that f is a continuous function defined on the unit ball of Rd , of the form f(x) = g(Ax), where A is a k×d matrix and g is a function of k variables for k ≪ d. ...
Massimo Fornasier, Karin Schnass, Jan Vybír...
STOC
2009
ACM
119views Algorithms» more  STOC 2009»
15 years 10 months ago
Explicit construction of a small epsilon-net for linear threshold functions
We give explicit constructions of epsilon nets for linear threshold functions on the binary cube and on the unit sphere. The size of the constructed nets is polynomial in the dime...
Yuval Rabani, Amir Shpilka