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» Approximating Component Selection
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VLDB
1998
ACM
111views Database» more  VLDB 1998»
15 years 2 months ago
Filtering with Approximate Predicates
Approximate predicates can be used to reduce the number of comparisons made by expensive, complex predicates. For example, to check if a point is within a region (expensive predic...
Narayanan Shivakumar, Hector Garcia-Molina, Chandr...
AAAI
2006
14 years 11 months ago
Sample-Efficient Evolutionary Function Approximation for Reinforcement Learning
Reinforcement learning problems are commonly tackled with temporal difference methods, which attempt to estimate the agent's optimal value function. In most real-world proble...
Shimon Whiteson, Peter Stone
ICALP
2004
Springer
15 years 3 months ago
Sublinear-Time Approximation for Clustering Via Random Sampling
Abstract. In this paper we present a novel analysis of a random sampling approach for three clustering problems in metric spaces: k-median, min-sum kclustering, and balanced k-medi...
Artur Czumaj, Christian Sohler
DAM
2006
78views more  DAM 2006»
14 years 10 months ago
Hybrid rounding techniques for knapsack problems
We address the classical knapsack problem and a variant in which an upper bound is imposed on the number of items that can be selected. We show that appropriate combinations of ro...
Monaldo Mastrolilli, Marcus Hutter
ICIP
2005
IEEE
15 years 11 months ago
Hexagonal versus orthogonal lattices: a new comparison using approximation theory
We provide a new comparison between hexagonal and orthogonal lattices, based on approximation theory. For each of the lattices, we select the "natural" spline basis func...
Laurent Condat, Dimitri Van De Ville, Thierry Blu