Sciweavers

2512 search results - page 100 / 503
» Learning from Highly Structured Data by Decomposition
Sort
View
ICML
2005
IEEE
15 years 10 months ago
Proto-value functions: developmental reinforcement learning
This paper presents a novel framework called proto-reinforcement learning (PRL), based on a mathematical model of a proto-value function: these are task-independent basis function...
Sridhar Mahadevan
SSD
1993
Springer
112views Database» more  SSD 1993»
15 years 2 months ago
A Storage and Access Architecture for Efficient Query Processing in Spatial Database Systems
: Due to the high complexity of objects and queries and also due to extremely large data volumes, geographic database systems impose stringent requirements on their storage and acc...
Thomas Brinkhoff, Holger Horn, Hans-Peter Kriegel,...
SODA
2008
ACM
101views Algorithms» more  SODA 2008»
14 years 11 months ago
Adaptive local ratio
Local ratio is a well-known paradigm for designing approximation algorithms for combinatorial optimization problems. At a very high level, a local-ratio algorithm first decomposes ...
Julián Mestre
TSP
2008
90views more  TSP 2008»
14 years 9 months ago
Array-Based QR-RLS Multichannel Lattice Filtering
An array-based algorithm for multichannel lattice filtering is proposed. The filter is formed by a set of units that are adapted locally and concurrently using recursions that clos...
J. Gomes, V. A. N. Barroso
BMCBI
2010
174views more  BMCBI 2010»
14 years 10 months ago
The effect of prior assumptions over the weights in BayesPI with application to study protein-DNA interactions from ChIP-based h
Background: To further understand the implementation of hyperparameters re-estimation technique in Bayesian hierarchical model, we added two more prior assumptions over the weight...
Junbai Wang