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» A Value Theory of Meta-Learning Algorithms
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ESA
2007
Springer
105views Algorithms» more  ESA 2007»
15 years 6 months ago
Finding Branch-Decompositions and Rank-Decompositions
Abstract. We present a new algorithm that can output the rankdecomposition of width at most k of a graph if such exists. For that we use an algorithm that, for an input matroid rep...
Petr Hlinený, Sang-il Oum
WSDM
2010
ACM
199views Data Mining» more  WSDM 2010»
15 years 9 months ago
A Sketch-Based Distance Oracle for Web-Scale Graphs
We study the fundamental problem of computing distances between nodes in large graphs such as the web graph and social networks. Our objective is to be able to answer distance que...
Atish Das Sarma, Sreenivas Gollapudi, Marc Najork,...

Book
19360views
16 years 10 months ago
Numerical Recipes in C
C code implementation of several math algorithms such as Linear Algebraic Equations, Interpolation and Extrapolation, Integration of Functions, Evaluation of Functions, Random Num...
William H. Press, Saul A. Teukolsky, William T. Ve...
ICAART
2010
INSTICC
15 years 9 months ago
Complexity of Stochastic Branch and Bound Methods for Belief Tree Search in Bayesian Reinforcement Learning
There has been a lot of recent work on Bayesian methods for reinforcement learning exhibiting near-optimal online performance. The main obstacle facing such methods is that in most...
Christos Dimitrakakis
ICML
1995
IEEE
16 years 18 days ago
Stable Function Approximation in Dynamic Programming
The success ofreinforcement learninginpractical problems depends on the ability to combine function approximation with temporal di erence methods such as value iteration. Experime...
Geoffrey J. Gordon