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ICML
2007
IEEE
14 years 8 months ago
Tracking value function dynamics to improve reinforcement learning with piecewise linear function approximation
Reinforcement learning algorithms can become unstable when combined with linear function approximation. Algorithms that minimize the mean-square Bellman error are guaranteed to co...
Chee Wee Phua, Robert Fitch
RC
2006
69views more  RC 2006»
13 years 7 months ago
The Set of Hausdorff Continuous Functions - The Largest Linear Space of Interval Functions
Hausdorff continuous (H-continuous) functions are special interval-valued functions which are commonly used in practice, e.g. histograms are such functions. However, in order to av...
Roumen Anguelov, Svetoslav Markov, Blagovest Sendo...
MA
2010
Springer
94views Communications» more  MA 2010»
13 years 6 months ago
On sparse estimation for semiparametric linear transformation models
: Semiparametric linear transformation models have received much attention due to its high flexibility in modeling survival data. A useful estimating equation procedure was recent...
Hao Helen Zhang, Wenbin Lu, Hansheng Wang
DEXA
2010
Springer
133views Database» more  DEXA 2010»
13 years 2 months ago
Low Power Management of OLTP Applications Considering Disk Drive Power Saving Function
Abstract. A power-saving management for OLTP applications has become an important task for user budgets and datacenter operations. This paper presents a novel power-saving method f...
Norifumi Nishikawa, Miyuki Nakano, Masaru Kitsureg...
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...