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著者: Gondro, Cedric., Gondro, Cedric.
出版事項 2015
主題: ...Statistics and Computing/Statistics Programs. https://scigraph.springernature.com/ontologies...
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電子媒体 eBook
2
出版事項 2008
目次: ... Selection and Cancer Microarray Data Classification Via Mixed-Integer Optimization -- Detection of Protein...
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3
出版事項 2007
目次: ...Identifying Regulatory Sites Using Neighborhood Species -- Genetic Programming and Other Machine...
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4
出版事項 2010
目次: ... Learning Vector Quantization -- Cost Optimization of a Localized Irrigation System Using Genetic Algorithms...
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5
出版事項 2010
目次: ... Problem -- A Combination of Evolutionary Algorithm, Mathematical Programming, and a New Local Search...
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6
出版事項 2005
目次: ... of Large Image Datasets Using Non-linear Principal Components -- Classification by Instance-Based Learning...
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7
出版事項 2008
目次: ... -- An Optimality Principle for Concurrent Systems -- Partial Order Hierarchical Reinforcement Learning -- Optimal...
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8
出版事項 2010
目次: ...Machine Learning and Data Mining -- Towards a Conscious Choice of a Fuzzy Similarity Measure: A...
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9
出版事項 2010
目次: ... of Differential Constraints in Possible Conflict and ARR Computation -- On the Complexity of Program Debugging...
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10
出版事項 2008
目次: ... Microarray Experiments -- NAPX: A Polynomial Time Approximation Scheme for the Noah’s Ark Problem -- Minimum...
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11
出版事項 2008
目次: ...Learning and Classification -- MAP-Inference for Highly-Connected Graphs with DC-Programming...
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12
出版事項 2008
目次: ... for Mining Subtle Signals in Time Course Microarray Data -- A PTAS for the k-Consensus Structures Problem...
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13
出版事項 2010
目次: ...-learning Approach to Function Approximation -- On the Effectiveness of Gene Selection for Microarray...
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14
出版事項 2010
目次: ... -- Ensemble Learning: Methods and Applications -- Multiclass Mineral Recognition Using Similarity Features...
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15
出版事項 2005
目次: ... Processing Filters -- Learning Weights in Genetic Programs Using Gradient Descent for Object Recognition...
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16
出版事項 2006
目次: ... -- Linear Regression Models for Functional Data -- Penalized Binary Regression as Statistical Learning Tool...
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17
出版事項 2005
目次: ... for Comparison of Two Independent cDNA Filter Microarrays -- Large Deviations for Interacting Processes...
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18
出版事項 2010
目次: ... Footprinting -- Learning Network from High-Dimensional Array Data -- Computational Methods for Predicting...
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19
出版事項 2008
目次: ...Genetic Programming -- Treating Noisy Data Sets with Relaxed Genetic Programming -- Cost-Benefit...
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20
出版事項 2007
目次: ... Forecast Using GRID Middleware -- Multi-robot Cooperation Based on Hierarchical Reinforcement Learning...
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