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12/03/2021
An Analytical Update Rule for General Policy Optimization
We present an analytical policy update rule that is independent of param...
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10/15/2020
Multi-Agent Trust Region Policy Optimization
We extend trust region policy optimization (TRPO) to multi-agent reinfor...
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04/08/2019
Nucleus Neural Network: A Data-driven Self-organized Architecture
Artificial neural networks which are inspired from the learning mechanis...
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04/08/2019
Nucleus Neural Network for Super Robust Learning
Artificial neural networks which model the neurons and connecting archit...
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12/22/2018
Dimensionality Reduction of Hyperspectral Imagery Based on Spatial-spectral Manifold Learning
The graph embedding (GE) methods have been widely applied for dimensiona...
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10/28/2018
Distributive Dynamic Spectrum Access through Deep Reinforcement Learning: A Reservoir Computing Based Approach
Dynamic spectrum access (DSA) is regarded as an effective and efficient ...
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06/28/2016
A Local Density-Based Approach for Local Outlier Detection
This paper presents a simple but effective density-based outlier detecti...
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06/21/2016
Kernel-based Generative Learning in Distortion Feature Space
This paper presents a novel kernel-based generative classifier which is ...
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06/20/2016
FSMJ: Feature Selection with Maximum Jensen-Shannon Divergence for Text Categorization
In this paper, we present a new wrapper feature selection approach based...
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05/11/2016
EEF: Exponentially Embedded Families with Class-Specific Features for Classification
In this letter, we present a novel exponentially embedded families (EEF)...
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02/09/2016
Toward Optimal Feature Selection in Naive Bayes for Text Categorization
Automated feature selection is important for text categorization to redu...
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09/19/2014
