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BMCBI
2008
174views more  BMCBI 2008»
15 years 2 months ago
Evolutionary approaches for the reverse-engineering of gene regulatory networks: A study on a biologically realistic dataset
Background: Inferring gene regulatory networks from data requires the development of algorithms devoted to structure extraction. When only static data are available, gene interact...
Cédric Auliac, Vincent Frouin, Xavier Gidro...
IEEECIT
2009
IEEE
15 years 9 months ago
Clustering of Software Systems Using New Hybrid Algorithms
—Software clustering is a method for increasing software system understanding and maintenance. Software designers, first use MDG graph to model the structure of software system. ...
Ali Safari Mamaghani, Mohammad Reza Meybodi
CORR
2012
Springer
210views Education» more  CORR 2012»
13 years 10 months ago
MAV Stabilization using Machine Learning and Onboard Sensors
In many situations, Miniature Aerial Vehicles (MAVs) are limited to using only on-board sensors for navigation. This limits the data available to algorithms used for stabilization...
Jason Yosinski, Cooper Bills
ICML
1996
IEEE
16 years 3 months ago
Learning Evaluation Functions for Large Acyclic Domains
Some of the most successful recent applications of reinforcement learning have used neural networks and the TD algorithm to learn evaluation functions. In this paper, we examine t...
Justin A. Boyan, Andrew W. Moore
AAAI
2010
15 years 3 months ago
The Model-Based Approach to Autonomous Behavior: A Personal View
The selection of the action to do next is one of the central problems faced by autonomous agents. In AI, three approaches have been used to address this problem: the programming-b...
Hector Geffner