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PKDD
2009
Springer
152views Data Mining» more  PKDD 2009»
15 years 4 months ago
Feature Selection for Value Function Approximation Using Bayesian Model Selection
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
Tobias Jung, Peter Stone
68
Voted
ISMVL
2010
IEEE
164views Hardware» more  ISMVL 2010»
15 years 2 months ago
On the Number of Products to Represent Interval Functions by SOPs with Four-Valued Variables
Abstract—Let A and B be integers such that A ≤ B. An nvariable interval function is a mapping IN[n : A, B] : {0, 1}n → {0, 1}, where IN[n : A, B](X) = 1 iff A ≤ X ≤ B. Su...
Tsutomu Sasao
DASFAA
2004
IEEE
116views Database» more  DASFAA 2004»
15 years 1 months ago
Template-Based Proxy Caching for Table-Valued Functions
Abstract. Certain types of database-backed web sites heavily utilize userdefined functions in SQL queries. Unfortunately, existing web proxy caching schemes can not handle these fu...
Qiong Luo, Wenwei Xue
SCALESPACE
2007
Springer
15 years 3 months ago
Faithful Recovery of Vector Valued Functions from Incomplete Data
On March 11, 1944, the famous Eremitani Church in Padua (Italy) was destroyed in an Allied bombing along with the inestimable frescoes by Andrea Mantegna et al. contained in the Ov...
Massimo Fornasier
JAT
2011
93views more  JAT 2011»
14 years 4 months ago
Approximation theorems for group valued functions
Stone-Weierstrass-type theorems for groups of group-valued functions with discrete range or discrete domain are obtained. We study criteria for a subgroup of the group of continuou...
Jorge Galindo, Manuel Sanchis