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» A Geometric Functional for Derivatives Approximation
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ATAL
2007
Springer
14 years 2 months ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone
ICRA
2006
IEEE
106views Robotics» more  ICRA 2006»
14 years 2 months ago
An Improved Method for the Geometrical Calibration of Parallelogram-based Parallel Robots
: This paper presents an improved method for the geometrical calibration of parallel robots for which the structure is based upon some parallelogram mechanisms. Its originality is ...
Ludovic Savoure, Patrick Maurine, David Corbel, S&...
FAW
2009
Springer
177views Algorithms» more  FAW 2009»
14 years 3 months ago
Bounds on the Geometric Mean of Arc Lengths for Bounded-Degree Planar Graphs
Data access time becomes the main bottleneck in applications dealing with large-scale graphs. Cache-oblivious layouts, constructed to minimize the geometric mean of arc lengths of ...
Mohammad Khairul Hasan, Sung-Eui Yoon, Kyung-Yong ...
KDD
2007
ACM
160views Data Mining» more  KDD 2007»
14 years 8 months ago
Show me the money!: deriving the pricing power of product features by mining consumer reviews
The increasing pervasiveness of the Internet has dramatically changed the way that consumers shop for goods. Consumergenerated product reviews have become a valuable source of inf...
Nikolay Archak, Anindya Ghose, Panagiotis G. Ipeir...
NIPS
1990
13 years 9 months ago
Bumptrees for Efficient Function, Constraint and Classification Learning
A new class of data structures called "bumptrees" is described. These structures are useful for efficiently implementing a number of neural network related operations. A...
Stephen M. Omohundro