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检索条件"任意字段=6th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2009"
98 条 记 录,以下是1-10 订阅
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machine learning and data mining in pattern recognition - 6th international conference, mldm 2009, Proceedings
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6th international conference on machine learning and data mining in pattern recognition, mldm 2009
the proceedings contain 61 papers. the topics discussed include improved comprehensibility and reliability of explanations via restricted halfspace discretization;selection of subsets of ordered features in machine le...
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Fast pattern recognition and Deep learning Using Multi-Rooted Binary Decision Diagrams
Fast Pattern Recognition and Deep Learning Using Multi-Roote...
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10th international conference on machine learning and data mining (mldm)
作者: Bugaychenko, Dmitry Zubarevich, Dmitry St Petersburg State Univ St Petersburg 199034 Russia
Binary decision diagrams (BDD) is a compact and efficient representation of Boolean functions with extensions available for sets and finite-valued functions. the key feature of the BDD is an ability to employ internal... 详细信息
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Generalized Hand Gesture recognition for Wearable Devices in IoT: Application and Implementation Challenges  12th
Generalized Hand Gesture Recognition for Wearable Devices in...
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12th international conference on machine learning and data mining (mldm)
作者: Iyer, Darshan Mohammad, Fahim Guo, Yuan Al Safadi, Ebrahim Smiley, Benjamin J. Liang, Zhiqiang Jain, Nilesh K. Intel Corp Hillsboro OR 97124 USA
the proliferation of low power and low cost continuous sensing technology is enabling new and innovative applications in wearables and Internet of things (IoT). At the same time, new applications are creating challeng... 详细信息
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A Time Series Model of the Writing Process  1
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12th international conference on machine learning and data mining (mldm)
作者: Volkovich, Zeev ORT Braude Coll Engn Software Engn Dept IL-21982 Karmiel Israel
the necessity to operate with the huge number of anonymous documents abounding on the Internet is initiating the study of new methods for authorship recognition. the principal weakness of the methods used in this area... 详细信息
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Using Glocal Event Alignment for Comparing Sequences of Significantly Different Lengths  1
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12th international conference on machine learning and data mining (mldm)
作者: Vinh-Trung Luu Ripken, Mathis Forestier, Germain Fondement, Frederic Muller, Pierre-Alain Univ Haute Alsace MIPS 12 Rue Freres Lumiere F-68093 Mulhouse France
this work takes place in the context of conversion rate optimization by enhancing the user experience during navigation on e-commerce web sites. the requirement is to be able to segment visitors into meaningful cluste... 详细信息
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learning betting tips from users' bet selections
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6th international conference on machine learning and data mining in pattern recognition, mldm 2009
作者: Štrumbelj, Erik Šikonja, Marko Robnik Kononenko, Igor Faculty of Computer and Information Science University of Ljubljana Trzaška 25 Ljubljana 1000 Slovenia
In this paper we address the problem of using bet selections of a large number of mostly non-expert users to improve sports betting tips. A similarity based approach is used to describe individual users' strategie... 详细信息
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Optimal Double-Kernel Combination for Classification
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6th international conference on machine learning and data mining in pattern recognition
作者: Wang, Feng Zhang, Hongbin Beijing Univ Sci & Technol Coll Comp Sci Beijing 100124 Peoples R China
Traditional kernelised classification methods Could not perforin well sometimes because of the using of a single and fixed kernel, especially oil sonic complicated data sets. In this paper. a novel optimal double-kern... 详细信息
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Building FP-Tree on the Fly: Single-Pass Frequent Itemset mining  12th
Building FP-Tree on the Fly: Single-Pass Frequent Itemset Mi...
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12th international conference on machine learning and data mining (mldm)
作者: Shahbazi, Nima Soltani, Rohollah Gryz, Jarek An, Aijun York Univ Dept Comp Sci & Engn Toronto ON Canada
the FP-Growth algorithm has been studied extensively in the field of frequent pattern mining. the algorithm offers the advantage of avoiding costly database scans in comparison with Apriori-based algorithms. However, ... 详细信息
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An Evidence-Driven Probabilistic Inference Framework for Semantic Image Understanding
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6th international conference on machine learning and data mining in pattern recognition
作者: Nikolopoulos, Spiros Papadopoulos, Georgios th. Kompatsiaris, Ioannis Patras, Ioannis CERTH Informat & Telemat Inst 6th Km Charilaou Thermi Rd Thessaloniki Greece Univ London Queen Mary Sch Elect Engn & Comp Sci London E1 4NS England
this work presents an image analysis framework driven by emerging evidence and constrained by the semantics expressed in an ontology. Human perception, apart from visual stimulus and pattern recognition, relies also o... 详细信息
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A Clustering Approach for Discovering Intrinsic Clusters in Multivariate Geostatistical data  12th
A Clustering Approach for Discovering Intrinsic Clusters in ...
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12th international conference on machine learning and data mining (mldm)
作者: Fouedjio, Francky CSIRO Mineral Resources Perth WA Australia
Multivariate georeferenced data have become omnipresent in the many scientific fields and pose substantial analysis challenges. One of them is the grouping of data locations into spatially contiguous clusters so that ... 详细信息
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