Deep Neural Networks for Acoustic Modeling in Speech Recognition
On 1 Jan, 2014 By admin 0 Comments
Academic Paper
A Direct Method for Building Sparse Kernel Learning Algorithms
On 1 Jan, 2014 By admin 0 Comments
High-Level Information Fusion with Bayesian Semantics
On 1 Jan, 2014 By admin 0 Comments
Experiences and Challenges in Automated Support for Intelligence in Assymetric Operations
On 1 Jan, 2014 By admin 0 Comments
Multiple Kernel Learning Algorithms
On 31 Dec, 2013 By admin 0 Comments
Data Augmentation for Support Vector Machines
On 31 Dec, 2013 By admin 0 Comments
Rao-Blackwellization for Bayesian Variable Selection and Model Averaging in Linear and Binary Regression A Novel Data Augmentation Approach
On 31 Dec, 2013 By admin 0 Comments
Ensembling Neural Networks: Many Could Be Better Than All
On 30 Dec, 2013 By admin 0 Comments
Minimum Majority Classification and Boosting
On 30 Dec, 2013 By admin 0 Comments
Direct Divergence Approximation between Probability Distributions and Its Applications in Machine Learning
On 30 Dec, 2013 By admin 0 Comments