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ECAI
2006
Springer
15 years 10 months ago
Learning by Automatic Option Discovery from Conditionally Terminating Sequences
Abstract. This paper proposes a novel approach to discover options in the form of conditionally terminating sequences, and shows how they can be integrated into reinforcement learn...
Sertan Girgin, Faruk Polat, Reda Alhajj
DRR
2010
15 years 8 months ago
A stacked sequential learning method for investigator name recognition from web-based medical articles
"Investigator Names" is a newly required field in MEDLINE citations. It consists of personal names listed as members of corporate organizations in an article. Extracting...
Xiaoli Zhang, Jie Zou, Daniel X. Le, George R. Tho...
IFIP12
2008
15 years 7 months ago
Bayesian Networks Optimization Based on Induction Learning Techniques
Obtaining a bayesian network from data is a learning process that is divided in two steps: structural learning and parametric learning. In this paper, we define an automatic learni...
Paola Britos, Pablo Felgaer, Ramón Garc&iac...
COMPUTER
2010
127views more  COMPUTER 2010»
15 years 3 months ago
Data Stream Management Systems for Computational Finance
Computational finance leverages computer technologies to build models from large amounts of data to extract insight. In today's networked world, the amount of data available t...
Badrish Chandramouli, Mohamed H. Ali, Jonathan Gol...
ENTCS
2006
114views more  ENTCS 2006»
15 years 6 months ago
Synthesis of Mealy Machines Using Derivatives
In Rutten [13] the theoretical basis was given for the synthesis of binary Mealy machines from specifications in 2-adic arithmetic. This construction is based on the symbolic comp...
Helle Hvid Hansen, David Costa, Jan J. M. M. Rutte...