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AAAI
2007
15 years 8 months ago
Acquiring Visibly Intelligent Behavior with Example-Guided Neuroevolution
Much of artificial intelligence research is focused on devising optimal solutions for challenging and well-defined but highly constrained problems. However, as we begin creating...
Bobby D. Bryant, Risto Miikkulainen
NIPS
2008
15 years 7 months ago
Partially Observed Maximum Entropy Discrimination Markov Networks
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
Jun Zhu, Eric P. Xing, Bo Zhang
SBBD
2004
133views Database» more  SBBD 2004»
15 years 7 months ago
Query Processing in ROSA Data Model
Learning Content Management Systems (LCMS) store and manage e-learning content and play an important role in the development of Distance Learning technology. ROSA (Repository of O...
Fábio Coutinho, Fabio Porto
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
15 years 7 months ago
Developing neural structure of two agents that play checkers using cartesian genetic programming
A developmental model of neural network is presented and evaluated in the game of Checkers. The network is developed using cartesian genetic programs (CGP) as genotypes. Two agent...
Gul Muhammad Khan, Julian Francis Miller, David M....
AAAI
2010
15 years 6 months ago
Multi-Task Sparse Discriminant Analysis (MtSDA) with Overlapping Categories
Multi-task learning aims at combining information across tasks to boost prediction performance, especially when the number of training samples is small and the number of predictor...
Yahong Han, Fei Wu, Jinzhu Jia, Yueting Zhuang, Bi...