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» A New Way to Introduce Knowledge into Reinforcement Learning
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ML
2008
ACM
150views Machine Learning» more  ML 2008»
14 years 11 months ago
Learning probabilistic logic models from probabilistic examples
Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
Jianzhong Chen, Stephen Muggleton, José Car...
IWDC
2004
Springer
153views Communications» more  IWDC 2004»
15 years 5 months ago
APPLE: A Novel P2P Based e-Learning Environment
With the rapid development of information technology, dramatic changes have been taken place in the fundamental ways that people acquire and disseminate knowledge. Various e-Learni...
Hai Jin, Zuoning Yin, Xudong Yang, Fucheng Wang, J...
IEEECIT
2010
IEEE
14 years 10 months ago
Research on J2EE Teaching Based on Mainstream Open Source Frameworks
—Students are difficult to get an effective way to master essential knowledge of J2EE course because they are lack programming experiments and teaching content is too much. In th...
Xiaoliang Xu, Weihua Hu
ICML
2010
IEEE
15 years 27 days ago
Supervised Aggregation of Classifiers using Artificial Prediction Markets
Prediction markets are used in real life to predict outcomes of interest such as presidential elections. In this work we introduce a mathematical theory for Artificial Prediction ...
Nathan Lay, Adrian Barbu
AAAI
2004
15 years 1 months ago
Automatic Generation of Artistic Chinese Calligraphy
We introduce a novel intelligent system which can generate new Chinese calligraphic artwork that meets certain aesthetic requirements automatically. In the machine learning phase,...
Songhua Xu, Francis C. M. Lau, Kwok-Wai Cheung, Yu...