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Chapman & Hall/CRC machine learning & pattern recognition series

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Chapman & Hall/CRC machine learning & pattern recognition series

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Chapman & Hall/CRC
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Note (General):

Series editors : Ralf Herbrich and Thore Graepel

Related materials as well as pre- and post-revision versions

Bayesian programmingLeave the NDL website. A first course in machine learningLeave the NDL website. Ensemble methods : foundations and algorithmsLeave the NDL website. Handbook of natural language processingLeave the NDL website. Statistical reinforcement learning : modern machine learning approachesLeave the NDL website. Multi-label dimensionality reductionLeave the NDL website. Sparse modeling : theory, algorithms, and applicationsLeave the NDL website. Data science and machine learning : mathematical and statistical methodsLeave the NDL website. Sparse modeling : theory, algorithms, and applicationsLeave the NDL website. A first course in machine learningLeave the NDL website. Introduction to machine learning with applications in information securityLeave the NDL website. Multilinear subspace learning : dimensionality reduction of multidimensional dataLeave the NDL website. A first course in machine learningLeave the NDL website. Machine learning : an algorithmic perspectiveLeave the NDL website. Utility-based learning from dataLeave the NDL website. Machine learning : an algorithmic perspectiveLeave the NDL website. Regularization, optimization, kernels, and support vector machinesLeave the NDL website. Cost-sensitive machine learningLeave the NDL website. A concise introduction to machine learningLeave the NDL website. Introduction to machine learning with applications in information securityLeave the NDL website. Deep learning and linguistic representationLeave the NDL website. Machine learning, animatedLeave the NDL website. Artificial intelligence and causal inferenceLeave the NDL website.

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Material Type
図書
Publication, Distribution, etc.
Place of Publication (Country Code)
us
Target Audience
一般
Note (General)
Series editors : Ralf Herbrich and Thore Graepel
Related Material
Bayesian programming
A first course in machine learning
Ensemble methods : foundations and algorithms
Handbook of natural language processing
Statistical reinforcement learning : modern machine learning approaches
Multi-label dimensionality reduction
Sparse modeling : theory, algorithms, and applications
Data science and machine learning : mathematical and statistical methods
Sparse modeling : theory, algorithms, and applications
A first course in machine learning
Introduction to machine learning with applications in information security
Multilinear subspace learning : dimensionality reduction of multidimensional data
A first course in machine learning
Machine learning : an algorithmic perspective
Utility-based learning from data
Machine learning : an algorithmic perspective
Regularization, optimization, kernels, and support vector machines
Cost-sensitive machine learning
A concise introduction to machine learning
Introduction to machine learning with applications in information security
Deep learning and linguistic representation
Machine learning, animated
Artificial intelligence and causal inference
Data Provider (Database)
国立情報学研究所 : CiNii Research
Original Data Provider (Database)
CiNii Books