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Displaying 1-10 out of 10 total
Product Feature Grouping for Opinion Mining
IEEE Intelligent Systems
By Zhongwu Zhai,Bing Liu,Jingyuan Wang,Hua Xu,Peifa Jia
Issue Date:July 2012
A constrained semisupervised learning method classifies words and phrases into feature groups, making it easier to produce an opinion summary of various product reviews.
A Robust Affine Invariant Feature Matching Approach
Machine Learning and Applications, Fourth International Conference on
By Ce Gao,Yixu Song,Peifa Jia
Issue Date:December 2011
Affine transformation detection can be used in many computer vision and other applications. This paper presents a new method for affine transformation detection. The state-of-the-art methods are mainly divided into two classes. One class is based on compli...
A Novel Control Method for Robotic Belt Grinding Based on SVM and PSO Algorithm
Intelligent Computation Technology and Automation, International Conference on
By Wei Liang, Yixu Song, Hongbo Lv, Peifa Jia, Zhongxue Gan, Lizhe Qi
Issue Date:May 2010
In this paper, a novel method for robotic belt grinding based on support vector machine and particle swarm optimization algorithm is presented. Firstly, the dynamic model of the robotic belt grinding process is built using support vector machine method. Th...
Task Scheduling for Heterogeneous Computing Based on Bayesian Optimization Algorithm
Computational Intelligence and Security, International Conference on
By Jiadong Yang, Hua Xu, Peifa Jia
Issue Date:December 2009
Efficient task scheduling, as a crucial step to achieve high performance for multiprocessor platform, remains one of the challenge problems despite of numrous studies. This paper presents a novel scheduling algorithm based on Bayesian optimization algorith...
Task Scheduling for Heterogeneous Computing Based on Learning Classifier System
Artificial Intelligence and Computational Intelligence, International Conference on
By Jiadong Yang, Hua Xu, Peifa Jia
Issue Date:November 2009
Task scheduling still remains one of the most challenging problems to achieve high performance in heterogeneous computing environments in spite of numerous efforts. This paper presents a novel scheduling algorithm based on learning classifier system for he...
Intelligent stock trading system based on SVM algorithm and oscillation box prediction
Neural Networks, IEEE - INNS - ENNS International Joint Conference on
By Qinghua Wen, Zehong Yang, Yixu Song, Peifa Jia
Issue Date:June 2009
The stock market is considered as a high complex and dynamic system. Many machine learning and data mining technologies are used for stock analysis, but it still leaves an open question about how to integrate these methods with the plentiful knowledge and ...
Identifying Opinion Leaders in BBS
Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
By Zhongwu Zhai, Hua Xu, Peifa Jia
Issue Date:December 2008
Opinion leaders play a very important role in information diffusion; they are found in all fields of society and influence the opinions of the masses in their fields. Most proposed algorithms on identifying opinion leaders in internet social network are gl...
A new dynamic Bayesian network for integrating multiple data in estimating gene networks
International Conference on Natural Computation
By Yu Zhang, Zhidong Deng, Peifa Jia
Issue Date:August 2007
We propose a novel method for estimating a gene regulatory network from both gene expression data and transcription factor binding location data. Based on dynamic Bayesian network (DBN) models, our method has two advantages. First, structural expectation m...
Teach and Playback of Realistic Target Reaching Movement of Virtual Human Upper Limb
Autonomic and Autonomous Systems, International Conference on
By Meng Na, Li Ding, Peifa Jia
Issue Date:June 2007
The significant research objective of virtual human is to generate realistic movement like real-life person. For the most frequent daily activity of target reaching movement of human upper limb, teach and playback method is proposed to generate vivid human...
Effective structure learning for EDA via L1-regularizedbayesian networks
Found in: Proceedings of the 12th annual conference on Genetic and evolutionary computation (GECCO '10)
By Hua Xu, Jiadong Yang, Peifa Jia, Yunpeng Cai
Issue Date:July 2010
The Bayesian optimization algorithm (BOA) uses Bayesian networks to explore the dependencies between decision variables of an optimization problem in pursuit of both faster speed of convergence and better solution quality. In this paper, a novel method tha...
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