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» Multiagent learning using a variable learning rate
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ISNN
2007
Springer
15 years 11 months ago
Neural-Based Separating Method for Nonlinear Mixtures
A neural-based method for source separation in nonlinear mixture is proposed in this paper. A cost function, which consists of the mutual information and partial moments of the out...
Ying Tan
138
Voted
NLPRS
2001
Springer
15 years 9 months ago
A New Prosodic Phrasing Model for Chinese TTS Systems
This paper proposes a new prosodic phrasing model for Chinese text-tospeech systems. First, in contrast to the commonly used CART techniques, we propose a new inductive learning a...
Weijun Chen, Fuzong Lin, Jianmin Li, Bo Zhang
NIPS
2003
15 years 6 months ago
Wormholes Improve Contrastive Divergence
In models that define probabilities via energies, maximum likelihood learning typically involves using Markov Chain Monte Carlo to sample from the model’s distribution. If the ...
Geoffrey E. Hinton, Max Welling, Andriy Mnih
CHI
1999
ACM
15 years 9 months ago
The Design and Evaluation of a High-Performance Soft Keyboard
The design and evaluation of a high performance soft keyboard for mobile systems are described. Using a model to predict the upper-bound text entry rate for soft keyboards, we des...
I. Scott MacKenzie, Shawn X. Zhang
BMCBI
2010
218views more  BMCBI 2010»
15 years 2 months ago
A hybrid blob-slice model for accurate and efficient detection of fluorescence labeled nuclei in 3D
Background: To exploit the flood of data from advances in high throughput imaging of optically sectioned nuclei, image analysis methods need to correctly detect thousands of nucle...
Anthony Santella, Zhuo Du, Sonja Nowotschin, Anna-...