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SDM
2008
SIAM
133views Data Mining» more  SDM 2008»
15 years 7 months ago
Semantic Smoothing for Bayesian Text Classification with Small Training Data
Bayesian text classifiers face a common issue which is referred to as data sparsity problem, especially when the size of training data is very small. The frequently used Laplacian...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
ICC
2007
IEEE
142views Communications» more  ICC 2007»
16 years 14 days ago
Performance Evaluation of Network Systems Accounting for User Behaviors
—Considering user behaviors in the performance evaluation of mobile networks is crucial as traffic generation in such networks is highly dependent on mobility and communication a...
Shigeru Kaneda, Akihito Hiromori, Yoshikazu Akinag...
224
Voted
ESANN
2008
15 years 7 months ago
Learning to play Tetris applying reinforcement learning methods
In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...
Alexander Groß, Jan Friedland, Friedhelm Sch...
ICML
2008
IEEE
16 years 7 months ago
On the quantitative analysis of deep belief networks
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
Ruslan Salakhutdinov, Iain Murray
181
Voted
WMTE
2005
IEEE
15 years 11 months ago
Innovative Media in Support of Distributed Intelligence and Lifelong Learning
Individual, unaided human abilities are constrained. Media have helped us to transcend boundaries in thinking, working, learning, and collaborating by supporting distributed intel...
Gerhard Fischer, Shin'ichi Konomi