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Statistical Learning and Data Science
Latest Publications
TOTAL DOCUMENTS
17
(FIVE YEARS 0)
H-INDEX
2
(FIVE YEARS 0)
Published By Chapman And Hall/CRC
9780429107689
Latest Documents
Most Cited Documents
Contributed Authors
Related Sources
Related Keywords
Latest Documents
Most Cited Documents
Contributed Authors
Related Sources
Related Keywords
Some Properties of Infinite VC-Dimension Systems Alexey Chervonenkis
Statistical Learning and Data Science
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10.1201/b11429-9
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2011
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pp. 69-76
Keyword(s):
Vc Dimension
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Large-Scale Machine Learning with Stochastic Gradient Descent Léon Bottou
Statistical Learning and Data Science
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10.1201/b11429-6
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2011
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pp. 33-42
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Cited By ~ 1
Keyword(s):
Machine Learning
◽
Gradient Descent
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Large Scale
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Stochastic Gradient
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Stochastic Gradient Descent
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Conformal Predictors in Semisupervised Case Dmitry Adamskiy, Ilia Nouretdinov, and Alexander Gammerman
Statistical Learning and Data Science
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10.1201/b11429-8
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2011
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pp. 59-68
Keyword(s):
Conformal Predictors
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Trees with Soft Nodes: A New Approach to the Construction of Prediction Trees from Data
Statistical Learning and Data Science
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10.1201/b11429-20
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2011
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pp. 175-186
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Cited By ~ 2
Keyword(s):
New Approach
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Geometric Data Analysis in a Social Science Research Program: The Case of Bourdieu’s Sociology
Statistical Learning and Data Science
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10.1201/b11429-12
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2011
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pp. 93-106
Keyword(s):
Data Analysis
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Social Science
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Research Program
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Social Science Research
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Science Research
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Geometric Data
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Geometric Data Analysis
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Bayesian Analysis of Structural Equation Models Using Parameter Expansion
Statistical Learning and Data Science
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10.1201/b11429-17
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2011
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pp. 151-162
Keyword(s):
Bayesian Analysis
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Structural Equation
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Structural Equation Models
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Parameter Expansion
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Functional Data Analysis: An Interdisciplinary Statistical Topic
Statistical Learning and Data Science
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10.1201/b11429-22
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2011
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pp. 205-212
Keyword(s):
Data Analysis
◽
Functional Data Analysis
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Functional Data
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Measuring Classifier Performance: On the Incoherence of the Area under the ROC Curve and What to Do about It
Statistical Learning and Data Science
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10.1201/b11429-14
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2011
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pp. 119-128
Keyword(s):
Roc Curve
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Classifier Performance
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Semantics from Narrative: State of the Art and Future Prospects
Statistical Learning and Data Science
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10.1201/b11429-13
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2011
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pp. 107-118
Keyword(s):
State Of The Art
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Future Prospects
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Fast Optimization Algorithms for Solving SVM+ Dmitry Pechyony and Vladimir Vapnik
Statistical Learning and Data Science
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10.1201/b11429-7
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2011
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pp. 43-58
Keyword(s):
Optimization Algorithms
◽
Fast Optimization
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