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VISSYM
2003
13 years 10 months ago
Visual Hierarchical Dimension Reduction for Exploration of High Dimensional Datasets
Traditional visualization techniques for multidimensional data sets, such as parallel coordinates, glyphs, and scatterplot matrices, do not scale well to high numbers of dimension...
Jing Yang, Matthew O. Ward, Elke A. Rundensteiner,...
SCAI
1993
13 years 10 months ago
A Case-Based Answer to Some Problems of Knowledge-Based Systems
Among the most important challenges for contemporary AI research are the development of methods for improved robustness, adaptability, and overall interactiveness of systems. Inter...
Agnar Aamodt
ATAL
2010
Springer
13 years 9 months ago
Combining manual feedback with subsequent MDP reward signals for reinforcement learning
As learning agents move from research labs to the real world, it is increasingly important that human users, including those without programming skills, be able to teach agents de...
W. Bradley Knox, Peter Stone
BMCBI
2010
135views more  BMCBI 2010»
13 years 8 months ago
Detecting disease associated modules and prioritizing active genes based on high throughput data
Background: The accumulation of high-throughput data greatly promotes computational investigation of gene function in the context of complex biological systems. However, a biologi...
Yu-Qing Qiu, Shi-Hua Zhang, Xiang-Sun Zhang, Luona...
BMCBI
2008
174views more  BMCBI 2008»
13 years 8 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...