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ICMLA
2010
13 years 5 months ago
Ensembles of Neural Networks for Robust Reinforcement Learning
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
Alexander Hans, Steffen Udluft
BMCBI
2010
76views more  BMCBI 2010»
13 years 7 months ago
Validation and characterization of DNA microarray gene expression data distribution and associated moments
Background: The data from DNA microarrays are increasingly being used in order to understand effects of different conditions, exposures or diseases on the modulation of the expres...
Reuben Thomas, Luis de la Torre, Xiaoqing Chang, S...
BMCBI
2010
126views more  BMCBI 2010»
13 years 8 months ago
Antisense DNA parameters derived from next-nearest-neighbor analysis of experimental data
Background: The enumeration of tetrameric and other sequence motifs that are positively or negatively correlated with in vivo antisense DNA effects has been a useful addition to t...
Donald M. Gray, Carla W. Gray, Byong-Hoon Yoo, Tzu...
INFORMATICALT
2010
118views more  INFORMATICALT 2010»
13 years 5 months ago
Facilitating Ontology Development with Continuous Evaluation
In this paper we propose facilitating ontology development by constant evaluation of steps in the process of ontology development. Existing methodologies for ontology development a...
Dejan Lavbic, Marjan Krisper
IEEEHPCS
2010
13 years 2 months ago
Calculating the impact factor of neural networks on optimization algorithm for sensor selection
Intelligent sensor selection for monitoring operations is one of the serious subjects to reduce information processing time and increase information fusion accuracy. This paper at...
Abdolhossein Alipoor, Touraj Banirostam, Mehdi N. ...