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检索条件"任意字段=1st International Workshop on Machine Learning and Data Mining in Pattern Recognition"
585 条 记 录,以下是401-410 订阅
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Bayesian approach to the concept drift in the pattern recognition problems
Bayesian approach to the concept drift in the pattern recogn...
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8th international Conference on machine learning and data mining in pattern recognition, MLDM 2012
作者: Turkov, Pavel Krasotkina, Olga Mottl, Vadim Tula State University 92 Lenina Ave. Tula 300600 Russia Computing Center Russian Academy of Science 40 Vavilov St. Moscow 119333 Russia
We can face with the pattern recognition problems where the influence of hidden context leads to more or less radical changes in the target concept. This paper proposes the mathematical and algorithmic framework for t... 详细信息
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Manifold-regularized minimax probability machine
Manifold-regularized minimax probability machine
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1st IAPR-TC3 workshop on Partially Supervised learning, PSL 2011
作者: Yoshiyama, Kazuki Sakurai, Akito School of Science for Open and Environmental System Keio University 3-14-1 Hiyoshi Kohoku-ku Yokohama 223-8522 Japan
In this paper we propose Manifold-Regularized Minimax Probability machine, called MRMPM. We show that Minimax Probability machine can properly be extended to semi-supervised version in the manifold regularization fram... 详细信息
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Unlabeled data and multiple views
Unlabeled data and multiple views
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1st IAPR-TC3 workshop on Partially Supervised learning, PSL 2011
作者: Zhou, Zhi-Hua National Key Laboratory for Novel Software Technology Nanjing University Nanjing 210093 China
In many real-world applications there are usually abundant unlabeled data but the amount of labeled training examples are often limited, since labeling the data requires extensive human effort and expertise. Thus, exp... 详细信息
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Subscriber classification within telecom networks utilizing big data technologies and machine learning
Subscriber classification within telecom networks utilizing ...
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1st international workshop on Big data, streams and Heterogeneous Source mining: Algorithms, Systems, Programming Models and Applications, BigMine-12 - Held in Conjunction with SIGKDD Conference
作者: Magnusson, Jonathan Kvernvik, Tor Uppsala University Box 337 751 05 Uppsala Sweden Ericsson Research Färögatan 6 164 80 Stockholm Sweden
This paper describes a scalable solution for identifying influential subscribers in for example telecom networks. The solution estimates one weighted value of inuence out of several Social Network Analysis(SNA) metric... 详细信息
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Semi-supervised linear discriminant analysis using moment constraints
Semi-supervised linear discriminant analysis using moment co...
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1st IAPR-TC3 workshop on Partially Supervised learning, PSL 2011
作者: Loog, Marco Pattern Recognition Laboratory Delft University of Technology Netherlands
A semi-supervised version of Fisher's linear discriminant analysis is presented. As opposed to virtually all other approaches to semi-supervision, no assumptions on the data distribution are made, apart from the o... 详细信息
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Applications of Discrete Geometry and Mathematical Morphology - First international workshop, WADGMM 2010, Revised Selected Papers
Applications of Discrete Geometry and Mathematical Morpholog...
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1st international workshop on Applications of Discrete Geometry and Mathematical Morphology, WADGMM 2010
The proceedings contain 11 papers. The topics discussed include: connect the dots: the reconstruction of region boundaries from contour sampling points;digital shape analysis with maximal segments;discrete curvature e...
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1st international Conference on Advanced machine learning Technologies and Applications, AMLTA 2012
1st International Conference on Advanced Machine Learning Te...
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The proceedings contain 59 papers. The special focus in this conference is on Rough Sets and Applications, machine learning in pattern recognition and Image Processing, machine learning in Multimedia Computing, Bioinf...
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Co-transfer learning via joint transition probability graph based method
Co-transfer learning via joint transition probability graph ...
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1st ACM SIGKDD workshop on Cross Domain Knowledge Discovery in Web and Social Network mining 2012, CDKD 2012
作者: Ng, Michael K. Wu, Qingyao Ye, Yunming Department of Mathematics Hong Kong Baptist University Kowloon Tong Hong Kong Department of Computer Science Harbin Institute of Technology Shenzhen Graduate School China
This paper studies a new machine learning strategy called co-transfer learning. Unlike many previous learning problems, we focus on how to use labeled data of different feature spaces to enhance the classification of ... 详细信息
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Online semi-supervised ensemble updates for fMRI data
Online semi-supervised ensemble updates for fMRI data
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1st IAPR-TC3 workshop on Partially Supervised learning, PSL 2011
作者: Plumpton, Catrin O. School of Computer Science Bangor University Dean Street LL57 1UT United Kingdom
Advances in Eelectroencephalography (EEG) and functional magnetic resonance imaging (fMRI) have opened up the possibility for real time data classification. A small amount of labelled training data is usually availabl... 详细信息
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On the utility of partially labeled data for classification of microarray data
On the utility of partially labeled data for classification ...
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1st IAPR-TC3 workshop on Partially Supervised learning, PSL 2011
作者: Lausser, Ludwig Schmid, Florian Kestler, Hans A. Research Group Bioinformatics and Systems Biology Institute of Neural Information Processing University of Ulm Germany
Microarrays are standard tools for measuring thousands of gene expression levels simultaneously. They are frequently used in the classification process of tumor tissues. In this setting a collected set of samples ofte... 详细信息
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