Alexander Statnikov – författare
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5 produkter
Cause Effect Pairs in Machine Learning
Av Isabelle Guyon, Alexander Statnikov m. fl.
Inbunden, 2019
1580 kr
Lägg i varukorg
This book presents ground-breaking advances in the domain of causal structure learning. The problem of distinguishing cause from effect (“Does altitude cause a change in atmospheric pressure, or vice versa?”) is here cast as a binary classification problem, to be tackled by machine learning …
Cause Effect Pairs in Machine Learning
Av Berna Bakir Batu, Alexander Statnikov m. fl.
E-bok, 2019
1470 kr
Lägg i varukorg
This book presents ground-breaking advances in the domain of causal structure learning. The problem of distinguishing cause from effect (“Does altitude cause a change in atmospheric pressure, or vice versa?”) is here cast as a binary classification problem, to be tackled by machine learning …
Cause Effect Pairs in Machine Learning
Av Isabelle Guyon, Alexander Statnikov m. fl.
Häftad, 2020
1128 kr
Lägg i varukorg
This book presents ground-breaking advances in the domain of causal structure learning. The problem of distinguishing cause from effect (“Does altitude cause a change in atmospheric pressure, or vice versa?”) is here cast as a binary classification problem, to be tackled by machine learning …
GENTLE INTRODUCTION TO SUPPORT VECTOR MACHINES IN BIOMEDICINE, A - VOLUME 2: CASE STUDIES AND BENCHMARKS
Av Alexander Statnikov, Constantin F Aliferis m. fl.
Inbunden, 2013
1203 kr
Lägg i varukorg
Support Vector Machines (SVMs) are among the most important recent developments in pattern recognition and statistical machine learning. They have found a great range of applications in various fields including biology and medicine. However, biomedical researchers often experience difficulties …
GENTLE INTRODUCTION TO SUPPORT VECTOR MACHINES IN BIOMEDICINE, A - VOLUME 1: THEORY AND METHODS
Av Alexander Statnikov, Constantin F Aliferis m. fl.
Inbunden, 2011
1276 kr
Tillfälligt slut
Support Vector Machines (SVMs) are among the most important recent developments in pattern recognition and statistical machine learning. They have found a great range of applications in various fields including biology and medicine. However, biomedical researchers often experience difficulties …