Search Results for author: Haibo He

Found 10 papers, 0 papers with code

Multi-Agent Trust Region Policy Optimization

no code implementations15 Oct 2020 Hepeng Li, Haibo He

By making a series of approximations to the consensus optimization model, we propose a decentralized MARL algorithm, which we call multi-agent TRPO (MATRPO).

Multi-agent Reinforcement Learning

Nucleus Neural Network: A Data-driven Self-organized Architecture

no code implementations8 Apr 2019 Jia Liu, Maoguo Gong, Haibo He

In this paper, we propose a nucleus neural network (NNN) and corresponding connecting architecture learning method.

Dimensionality Reduction of Hyperspectral Imagery Based on Spatial-spectral Manifold Learning

no code implementations22 Dec 2018 Hong Huang, Guangyao Shi, Haibo He, Yule Duan, Fulin Luo

However, a major challenge of GE is how to choose proper neighbors for graph construction and explore the spatial information of HSI data.

Classification Dimensionality Reduction +3

Distributive Dynamic Spectrum Access through Deep Reinforcement Learning: A Reservoir Computing Based Approach

no code implementations28 Oct 2018 Hao-Hsuan Chang, Hao Song, Yang Yi, Jianzhong Zhang, Haibo He, Lingjia Liu

To be specific, we apply the powerful machine learning tool, deep reinforcement learning (DRL), for SUs to learn "appropriate" spectrum access strategies in a distributed fashion assuming NO knowledge of the underlying system statistics.

Q-Learning

A Local Density-Based Approach for Local Outlier Detection

no code implementations28 Jun 2016 Bo Tang, Haibo He

A Relative Density-based Outlier Score (RDOS) is introduced to measure the local outlierness of objects, in which the density distribution at the location of an object is estimated with a local KDE method based on extended nearest neighbors of the object.

Density Estimation Outlier Detection

Kernel-based Generative Learning in Distortion Feature Space

no code implementations21 Jun 2016 Bo Tang, Paul M. Baggenstoss, Haibo He

The recognition diversity indicates that a hybrid combination of the proposed generative classifier and the discriminative classifier could further improve the classification performance.

Classification General Classification

FSMJ: Feature Selection with Maximum Jensen-Shannon Divergence for Text Categorization

no code implementations20 Jun 2016 Bo Tang, Haibo He

In this paper, we present a new wrapper feature selection approach based on Jensen-Shannon (JS) divergence, termed feature selection with maximum JS-divergence (FSMJ), for text categorization.

Feature Selection Text Categorization

EEF: Exponentially Embedded Families with Class-Specific Features for Classification

no code implementations11 May 2016 Bo Tang, Steven Kay, Haibo He, Paul M. Baggenstoss

In this letter, we present a novel exponentially embedded families (EEF) based classification method, in which the probability density function (PDF) on raw data is estimated from the PDF on features.

Classification Feature Selection +2

Toward Optimal Feature Selection in Naive Bayes for Text Categorization

no code implementations9 Feb 2016 Bo Tang, Steven Kay, Haibo He

Based on the JMH-divergence, we develop two efficient feature selection methods, termed maximum discrimination ($MD$) and $MD-\chi^2$ methods, for text categorization.

Feature Selection General Classification +2

Active Dictionary Learning in Sparse Representation Based Classification

no code implementations19 Sep 2014 Jin Xu, Haibo He, Hong Man

The classification accuracy and reconstruction error are used to evaluate the proposed dictionary learning method.

Active Learning Classification +3

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