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ATAL
2010
Springer
14 years 11 months ago
Closing the learning-planning loop with predictive state representations
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon
BMCBI
2008
128views more  BMCBI 2008»
14 years 10 months ago
HAPSIMU: a genetic simulation platform for population-based association studies
Background: Population structure is an important cause leading to inconsistent results in population-based association studies (PBAS) of human diseases. Various statistical method...
Feng Zhang, Jianfeng Liu, Jie Chen, Hong-Wen Deng
IDA
2008
Springer
14 years 10 months ago
Symbolic methodology for numeric data mining
Currently statistical and artificial neural network methods dominate in data mining applications. Alternative relational (symbolic) data mining methods have shown their effectivene...
Boris Kovalerchuk, Evgenii Vityaev
ICIAP
2005
ACM
15 years 10 months ago
A Neural Adaptive Algorithm for Feature Selection and Classification of High Dimensionality Data
In this paper, we propose a novel method which involves neural adaptive techniques for identifying salient features and for classifying high dimensionality data. In particular a ne...
Elisabetta Binaghi, Ignazio Gallo, Mirco Boschetti...
MOBICOM
2004
ACM
15 years 3 months ago
Hybrid rate control for IEEE 802.11
Streaming multimedia content in real-time over a wireless link is a challenging task because of the rapid fluctuations in link conditions that can occur due to movement, interfer...
Ivaylo Haratcherev, Koen Langendoen, Reginald L. L...