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Foundations of knowledge acquisition

The Kluwer international series in engineering and computer science : ...

Signatur: TVU4659

Continual learning in reinforcement environments

GMD-Berichte : 255 (Alle Bände)

Ring, Mark B

1995

Signatur: TUF1018-255

Maschinelles Lernen

De Gruyter Studium

Alpaydın, Ethem

2. Auflage, [2019]

Volltextzugriff (PDF)

Machine learning : a first course for engineers and scientists

2022

Signatur: TVU10957

Computational learning theory and natural learning systems. 3. Selecting good models

Computational learning theory and natural learning systems (Alle Bände)

Hanson, Stephen J[Herausgeber]

1995

Signatur: TVU5338-3

Eighth Annual Workshop on Computational Learning Theory : (COLT) ; July 5 - 8, 1995

Journal of computer and systems sciences : 56,2 (Alle Bände)

1998

Signatur: 64j7

Introduction to machine learning

Kodratoff, Yves

1988

Signatur: TVU1643

Multi-objective machine learning

Studies in computational intelligence : 16 (Alle Bände)

Jin, Yaochu[Herausgeber]

Softcover reprint of the hardcover 1st edition 2006, [2010]

Signatur: TVU10932

Machine learning : paradigms and methods

A Bradford book

Carbonell, Jaime G[Herausgeber]

2. print, 1992

Signatur: TVU3996

Algorithmic learning

Graduate Texts in computer science : 2 (Alle Bände)

Hutchinson, Alan

1994

Signatur: TVU4730

Computational learning theory and natural learning systems

A Bradford book

Hanson, Stephen J[Herausgeber]

Signatur: TVU5338-...

Explainable and interpretable models in computer vision and machine learning

The Springer series on challenges in machine learning

[2018]

Signatur: TVV19532

Algorithmisches Lernen

Leitfäden der Informatik

Fischer, Paul

1999

Signatur: TVI3687

Practical time series analysis : prediction with statistics and machine learning

Nielsen, Aileen

First edition, October 2019

Signatur: TKQ2506

Computational learning theory and natural learning systems. 2. Intersections between theory and experiment

Computational learning theory and natural learning systems (Alle Bände)

Hanson, Stephen J[Herausgeber]

1994

Signatur: TVU5338-2

Approaching (almost) any machine learning problem

Thakur, Abhishek

Signatur: TVU10550

Introduction to machine learning

Adaptive computation and machine learning

Alpaydın, Ethem

3. ed, 2014

Signatur: TVU8946(3)

Learning from data : a short course

2012

Signatur: TVU9714

Understanding machine learning : from theory to algorithms

2014

Signatur: TVU9764

Machine learning

McGraw-Hill series in computer science

Mitchell, Tom M

1997

Signatur: TVU7754

Machine learning : theory and applications

Handbook of statistics : 31 (Alle Bände)

Govindaraju, Venu[Herausgeber]

1. ed, 2013

Signatur: TKK5180-31

The elements of statistical learning : data mining, inference, and prediction

Springer series in statistics

Second edition, corrected at 12th printing 2017

Signatur: TKM4980(2)

Maschinelles Lernen

De Gruyter Studium

Alpaydın, Ethem

2. Auflage, [2019]

Signatur: TVU10241(2)

Reinforcement learning : an introduction

Adaptive computation and machine learning, A Bradford book

1998

Signatur: TVU7487

Computational learning theory and natural learning systems. 1. Constraints and prospects

Computational learning theory and natural learning systems (Alle Bände)

Hanson, Stephen J[Herausgeber]

1994

Signatur: TVU5338-1

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Foundations of knowledge acquisition

Continual learning in reinforcement environments

Maschinelles Lernen

Machine learning : a first course for engineers and scientists

Computational learning theory and natural learning systems. 3. Selecting good models

Eighth Annual Workshop on Computational Learning Theory : (COLT) ; July 5 - 8, 1995

Introduction to machine learning

Multi-objective machine learning

Machine learning : paradigms and methods

Algorithmic learning

Computational learning theory and natural learning systems

Explainable and interpretable models in computer vision and machine learning

Algorithmisches Lernen

Practical time series analysis : prediction with statistics and machine learning

Computational learning theory and natural learning systems. 2. Intersections between theory and experiment

Approaching (almost) any machine learning problem

Introduction to machine learning

Learning from data : a short course

Understanding machine learning : from theory to algorithms

Machine learning

Machine learning : theory and applications

The elements of statistical learning : data mining, inference, and prediction

Maschinelles Lernen

Reinforcement learning : an introduction

Computational learning theory and natural learning systems. 1. Constraints and prospects

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