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ESANN
2008
15 years 8 months ago
Learning to play Tetris applying reinforcement learning methods
In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...
Alexander Groß, Jan Friedland, Friedhelm Sch...
VLDB
1987
ACM
66views Database» more  VLDB 1987»
15 years 10 months ago
A New Compression Method with Fast Searching on Large Databases
In this paper, a new compression method for constant removal from very large scientific and statistical databases is presented. The new method combines the best features from seve...
Jianzhong Li, Doron Rotem, Harry K. T. Wong
DIS
2009
Springer
16 years 1 months ago
Using Data Mining for Wine Quality Assessment
Certification and quality assessment are crucial issues within the wine industry. Currently, wine quality is mostly assessed by physicochemical (e.g alcohol levels) and sensory (e...
Paulo Cortez, Juliana Teixeira, António Cer...
175
Voted
BMCBI
2007
157views more  BMCBI 2007»
15 years 6 months ago
Improving gene set analysis of microarray data by SAM-GS
Background: Gene-set analysis evaluates the expression of biological pathways, or a priori defined gene sets, rather than that of individual genes, in association with a binary ph...
Irina Dinu, John D. Potter, Thomas Mueller, Qi Liu...
CLA
2004
15 years 8 months ago
Binary Factor Analysis with Help of Formal Concepts
Binary factor analysis (BFA, also known as Boolean Factor Analysis) is a nonhierarchical analysis of binary data, based on reduction of binary space dimension. It allows us to find...
Ales Keprt, Václav Snásel