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ILP
2003
Springer
15 years 9 months ago
Graph Kernels and Gaussian Processes for Relational Reinforcement Learning
RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents to learn how to act in an environment that has no ...
Thomas Gärtner, Kurt Driessens, Jan Ramon
SDM
2008
SIAM
118views Data Mining» more  SDM 2008»
15 years 5 months ago
Massive-Scale Kernel Discriminant Analysis: Mining for Quasars
We describe a fast algorithm for kernel discriminant analysis, empirically demonstrating asymptotic speed-up over the previous best approach. We achieve this with a new pattern of...
Ryan Riegel, Alexander Gray, Gordon Richards
INFOCOM
2009
IEEE
15 years 10 months ago
Scalar Prefix Search: A New Route Lookup Algorithm for Next Generation Internet
Currently, the increasing rate of routing lookups in Internet routers, the large number of prefixes and also the transition from IPV4 to IPV6, have caused Internet designers to pro...
Mohammad Behdadfar, Hossein Saidi, Hamid Alaei, Ba...
WABI
2009
Springer
162views Bioinformatics» more  WABI 2009»
15 years 10 months ago
Aligning Biomolecular Networks Using Modular Graph Kernels
Comparative analysis of biomolecular networks constructed using measurements from different conditions, tissues, and organisms offer a powerful approach to understanding the stru...
Fadi Towfic, M. Heather West Greenlee, Vasant Hona...
JCSS
2010
114views more  JCSS 2010»
15 years 2 months ago
FPT algorithms and kernels for the Directed k-Leaf problem
A subgraph T of a digraph D is an out-branching if T is an oriented spanning tree with only one vertex of in-degree zero (called the root). The vertices of T of out-degree zero ar...
Jean Daligault, Gregory Gutin, Eun Jung Kim, Ander...