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NIPS
2008
13 years 10 months ago
Fitted Q-iteration by Advantage Weighted Regression
Recently, fitted Q-iteration (FQI) based methods have become more popular due to their increased sample efficiency, a more stable learning process and the higher quality of the re...
Gerhard Neumann, Jan Peters
PAKDD
2004
ACM
96views Data Mining» more  PAKDD 2004»
14 years 2 months ago
Spectral Energy Minimization for Semi-supervised Learning
The use of unlabeled data to aid classification is important as labeled data is often available in limited quantity. Instead of utilizing training samples directly into semi-super...
Chun Hung Li, Zhi-Li Wu
JMLR
2006
103views more  JMLR 2006»
13 years 8 months ago
MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals
In recent years, there has been a growing interest in applying Bayesian networks and their extensions to reconstruct regulatory networks from gene expression data. Since the gene ...
Dana Pe'er, Amos Tanay, Aviv Regev
PCM
2005
Springer
133views Multimedia» more  PCM 2005»
14 years 2 months ago
Optimum Quantization Parameters for Mode Decision in Scalable Extension of H.264/AVC Video Codec
In the joint scalable video model (JSVM), selection of quantization parameters for mode decision (QPMD) and bit rate control (QPBC) is important for efficient coding performance. F...
Seung Hwan Kim, Yo-Sung Ho
ICCD
2000
IEEE
119views Hardware» more  ICCD 2000»
14 years 14 days ago
Source-Level Transformations for Improved Formal Verification
A major obstacle to widespread acceptance of formal verification is the difficulty in using the tools effectively. Although learning the basic syntax and operation of a formal ver...
Brian D. Winters, Alan J. Hu