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检索条件"机构=Department of Data Science and Machine Learning Computer Science"
3631 条 记 录,以下是3411-3420 订阅
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IGIDS: Intelligent intrusion detection system using genetic algorithms
IGIDS: Intelligent intrusion detection system using genetic ...
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2011 World Congress on Information and Communication Technologies, WICT 2011
作者: Srinivasa, K.G. Chandra, Saumya Kajaria, Siddharth Mukherjee, Shilpita Machine Learning Applications Laboratory Department of Computer Science and Engineering M. S. Ramaiah Institute of Technology Bangalore - 560054 India
We present a genetic algorithm based network intrusion detection system named IGIDS, where the genetic algorithm is used for pruning best individuals in the rule set database. The process makes the decision faster as ... 详细信息
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A comparative study among different kernel functions in flexible naïve Bayesian classification
A comparative study among different kernel functions in flex...
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International Conference on machine learning and Cybernetics (ICMLC)
作者: James N. K. Liu Yu-Lin He Xi-Zhao Wang Yan-Xing Hu Department of computing Hong Kong Polytechnic University Hong Kong China Machine Learning Center Faculty of Mathematics and Computer Science Hebei University Baoding China
When determining the class of the unknown example by using naïve Bayesian classifier, we need to estimate the class conditional probabilities for the continuous attributes. In flexible Bayesian classifier, the Ga... 详细信息
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Near-optimal rates for limited-delay universal lossy source coding
Near-optimal rates for limited-delay universal lossy source ...
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IEEE International Symposium on Information Theory
作者: András György Gergely Neu Machine Learning Research Group Computer and Automation Research Institute Hungarian Academy of Sciences Budapest Hungary Department of Computer Science and Information Theory Budapest University of Technology & Economics Budapest Hungary
We consider the problem of limited-delay lossy coding of individual sequences. Here the goal is to design (fixed-rate) compression schemes to minimize the normalized expected distortion redundancy relative to a refere... 详细信息
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Value-transformation for monotone prediction by approximating fuzzy membership functions
Value-transformation for monotone prediction by approximatin...
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International Symposium on Computational Intelligence and Informatics
作者: Tomáš Horváth Alan Eckhardt Krisztián Buza Peter Vojtáš Lars Schmidt-Thieme Institute of Computer Science Pavol Jozef Safarik University in Kosice Slovakia Information Systems and Machine Learning Lab University of Hildesheim Germany Department of Software Engineering Charles University in Prague Czech Republic Department of Computer Science and Information Theory Budapest University of Technology and Economics Hungary
Monotone prediction problems, in which the target variable is non-decreasing given an increase of the explanatory variables, have became more popular nowadays in many problem settings which fulfill the so-called monot... 详细信息
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Infinite Latent SVM for Classification and Multi-task learning  11
Infinite Latent SVM for Classification and Multi-task Learni...
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Annual Conference on Neural Information Processing Systems
作者: Jun Zhut Ning Chen Eric P. Xing Dept. of Computer Science & Tech. TNList Lab Tsinghua University Beijing 100084 China Machine Learning Department Carnegie Mellon University Pittsburgh PA 15213 USA
Unlike existing nonparametric Bayesian models, which rely solely on specially conceived priors to incorporate domain knowledge for discovering improved latent representations, we study nonparametric Bayesian inference... 详细信息
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Multiple Instance learning on Structured data  11
Multiple Instance Learning on Structured Data
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Annual Conference on Neural Information Processing Systems
作者: Dan Zhang Yan Liu Luo Si Jian Zhang Richard D. Lawrence Computer Science Department Purdue University West Lafayette IN 47906 Computer Science Department University of Southern California Los Angeles CA 90089 Statistics Department Purdue University West Lafayette IN 47906 Machine Learning Group IBM T.J. Watson Research Center Yorktown Heights NY 10598
Most existing Multiple-Instance learning (MIL) algorithms assume data instances and/or data bags are independently and identically distributed. But there often exists rich additional dependency/structure information b... 详细信息
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Application of SVM in Citation Information Extraction
Application of SVM in Citation Information Extraction
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International Workshop on Complexity and data Mining (IWCDM)
作者: Jiguang Liang Robert Layton Wei Wang Web Data Mining Laboratory Department of Education Technology Educational Science College Nanjing Normal University Nanjing Jiangsu China Internet Commerce Security Laboratory University of Ballarat Ballarat Australia Machine Learning and Cognition Laboratory Department of Education Technology Educational Science College Nanjing Normal University Nanjing Jiangsu China
Support Vector machines are an effective form of binary-class classification algorithm. To enhance the utilization of text structural features for information extraction, which are greatly restricted by the Hidden Mar... 详细信息
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Early Identification of Peer-to-Peer Traffic
Early Identification of Peer-to-Peer Traffic
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IEEE International Conference on Communications (ICC)
作者: Bela Hullar Sandor Laki Andras Gyorgy Department of Physics of Complex Systems Eötvös Lonránd University Budapest Hungary Department of Information Systems Eötvös Lonránd University Budapest Hungary Machine Learning Research Group MTA SZTAKI Institute of Computer Science and Control Budapest Hungary
To manage and monitor their networks in a proper way, network operators are often interested in identifying the applications generating the traffic traveling through their networks, and doing it as fast (i.e., from as... 详细信息
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A distributed genetic algorithm for graph-based clustering
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Advances in Intelligent and Soft Computing 2011年 103卷 323-331页
作者: Buza, Krisztian Buza, Antal Kis, Piroska B. Information Systems and Machine Learning Lab University of Hildesheim Marienburger Platz 22 Hildesheim D-31141 Germany Department of Information Theory and Computer Science Budapest Univ. of Technology and Economics Magyar tudósk körútja 2. H-1117 Budapest Hungary College of Dunaujvaros Tancsics Mihály u. 1/a H-2400 Dunaujvaros Hungary
Clustering is one of the most prominent data analysis techniques to structure large datasets and produce a human-understandable overview. In this paper, we focus on the case when the data has many categorical attribut... 详细信息
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Caused filter selection in microarray data
Caused filter selection in microarray data
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27th International Conference on machine learning, ICML 2010
作者: Bontempi, Gianluca Meyer, Patrick E. Computer Science Department Machine Learning Group ULB Université Libre de Bruxelles Brussels Belgium
The importance of bringing causality into play when designing feature selection methods is more and more acknowledged in the machine learning community This paper proposes a filter approach based on information theory... 详细信息
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