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BMCBI
2007
94views more  BMCBI 2007»
15 years 7 months ago
A Hidden Markov Model to estimate population mixture and allelic copy-numbers in cancers using Affymetrix SNP arrays
Background: Affymetrix SNP arrays can interrogate thousands of SNPs at the same time. This allows us to look at the genomic content of cancer cells and to investigate the underlyi...
Philippe Lamy, Claus L. Andersen, Lars Dyrskjot, N...
200
Voted
AIR
2006
124views more  AIR 2006»
15 years 7 months ago
Expressiveness of temporal query languages: on the modelling of intervals, interval relationships and states
Abstract Storing and retrieving time-related information are important, or even critical, tasks on many areas of Computer Science (CS) and in particular for Artificial Intelligence...
Rodolfo Sabás Gómez, Juan Carlos Aug...
202
Voted
IDT
2008
123views more  IDT 2008»
15 years 7 months ago
A rich semantic model of track as a foundation for sharing beliefs regarding dynamic objects and events
: Many defense, homeland security, and commercial security objectives require continuous tracking of mobile entities such as aircraft. The systems that perform these functions prod...
Frederick Hayes-Roth, Curtis L. Blais
212
Voted
ISCI
2008
108views more  ISCI 2008»
15 years 7 months ago
Modeling and manipulating the structure of hierarchical schemas for the web
The Semantic Web is the next step of the current Web where information will become more machine-understandable to support effective data discovery and integration. Hierarchical sc...
Theodore Dalamagas, Alexandra Meliou, Timos K. Sel...
276
Voted
AI
1998
Springer
15 years 7 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok