From Curve Fitting to Machine Learning An Illustrative Guide to Scientific Data Analysis and Computational Intelligence

Artificial Neural Networks and Machine Learning – ICANN 2011 21st International Conference on Artificial Neural Networks, Espoo, Finland, June 14-17, 2011, Proceedings, Part I

Artificial Neural Networks and Machine Learning – ICANN 2011 21st International Conference on Artificial Neural Networks, Espoo, Finland, June 14-17, 2011, Proceedings, Part II

Machine Learning in Medical Imaging Second International Workshop, MLMI 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 18, 2011. Proceedings

Data mining practical machine learning tools and techniques

Probability for Statistics and Machine Learning Fundamentals and Advanced Topics

Machine learning forensics for law enforcement, security, and intelligence

Machine learning for audio, image and video analysis : theory and applications

Advances in Machine Learning I Dedicated to the Memory of Professor Ryszard S.Michalski

Advances in Machine Learning II Dedicated to the Memory of Professor Ryszard S.Michalski

Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part I

Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part II

Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part III

Machine Learning in Medical Imaging First International Workshop, MLMI 2010, Held in Conjunction with MICCAI 2010, Beijing, China, September 20, 2010. Proceedings

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics 8th European Conference, EvoBIO 2010, Istanbul, Turkey, April 7-9, 2010. Proceedings

Machine learning for spatial environmental data : theory, applications and software

Machine Learning and Data Mining in Pattern Recognition 6th International Conference, MLDM 2009, Leipzig, Germany, July 23-25, 2009. Proceedings

Advances in Machine Learning First Asian Conference on Machine Learning, ACML 2009, Nanjing, China, November 2-4, 2009. Proceedings

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics 7th European Conference, EvoBIO 2009 Tübingen, Germany, April 15-17, 2009 Proceedings

Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part II

Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part I

Principles and Theory for Data Mining and Machine Learning

Machine Learning in Cyber Trust Security, Privacy, and Reliability

Advanced mapping of environmental data geostatistics, machine learning and Bayesian maximum entropy

Machine Learning Techniques for Multimedia Case Studies on Organization and Retrieval

Machine Learning for Multimodal Interaction 4th International Workshop, MLMI 2007, Brno, Czech Republic, June 28-30, 2007, Revised Selected Papers

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics 6th European Conference, EvoBIO 2008, Naples, Italy, March 26-28, 2008. Proceedings

Machine Learning for Multimodal Interaction 5th International Workshop, MLMI 2008, Utrecht, The Netherlands, September 8-10, 2008. Proceedings

Data Analysis, Machine Learning and Applications Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., Albert-Ludwigs-Universität Freiburg, March 7–9, 2007

Machine Learning for Audio, Image and Video Analysis Theory and Applications

Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part I

Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part II

Advanced mapping of environmental data : geostatistics, machine learning, and Bayesian maximum entropy

Machine learning techniques for multimedia : case studies on organization and retrieval

Evolutionary Computation,Machine Learning and Data Mining in Bioinformatics 5th European Conference, EvoBIO 2007, Valencia, Spain, April 11-13, 2007. Proceedings

Machine Learning and Data Mining in Pattern Recognition 5th International Conference, MLDM 2007, Leipzig, Germany, July 18-20, 2007. Proceedings

Machine Learning: ECML 2007 18th European Conference on Machine Learning, Warsaw, Poland, September 17-21, 2007. Proceedings

Machine learning and data mining : introduction to principles and algorithms

Machine Learning for Multimodal Interaction Second International Workshop, MLMI 2005, Edinburgh, UK, July 11-13, 2005, Revised Selected Papers

Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment First PASCAL Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005, Revised Selected Papers

Machine Learning: ECML 2006 17th European Conference on Machine Learning Berlin, Germany, September 18-22, 2006 Proceedings

Machine Learning for Multimodal Interaction Third International Workshop, MLMI 2006, Bethesda, MD, USA, May 1-4, 2006, Revised Selected Papers

Machine Learning and Data Mining for Computer Security Methods and Applications

Advances in Machine Learning and Cybernetics 4th International Conference, ICMLC 2005, Guangzhou, China, August 18-21, 2005, Revised Selected Papers

Machine Learning: ECML 2005 16th European Conference on Machine Learning, Porto, Portugal, October 3-7, 2005. Proceedings

Deterministic and Statistical Methods in Machine Learning First International Workshop, Sheffield, UK, September 7-10, 2004. Revised Lectures

Machine Learning and Data Mining in Pattern Recognition 4th International Conference, MLDM 2005, Leipzig, Germany, July 9-11, 2005. Proceedings

Data mining : practical machine learning tools and techniques

Machine Learning for Multimodal Interaction First International Workshop, MLMI 2004, Martigny, Switzerland, June 21-23, 2004, Revised Selected Papers

The cross-entropy method : a unified approach to combinatorial optimization, Monte-Carlo simulation, and machine learning

Neuro-fuzzy and soft computing : a computational approach to learning and machine intelligence

Inductive logic programming from machine learning to software engineering

Genetic algorithms in search, optimization, and machine learning

Progress in machine learning : proccedings of EWSL87 : Bled, Yugoslavia

Machine learning : applications in expert systems and information retrieval

Sequential methods in pattern recognition and machine learning

MACHINE LEARNING IN FORENSIC EVIDENCE EXAMINATION a new era.

ADVANCED APPLICATIONS IN HEAT EXCHANGER TECHNOLOGIES AI, machine learning, and additive manufacturing.

AI AND MACHINE LEARNING FOR MECHANICAL AND ELECTRICAL ENGINEERING

SMART ELECTRONIC DEVICES artificial intelligence,machine learning, and the future.

Advanced techniques for optimal sizing of analog integrated circuits : quantum computing, machine learning, and bio-inspired optimization

Artificial intelligence and machine learning in drug design and development

Modeling and optimization of signals using machine learning techniques

CREATING IMAGES USING AI a step-by-step guide to midjourney.

Boosting foundations and algorithms

Semi-supervised learning

Learning with kernels support vector machines, regularization, optimization, and beyond

Learning kernel classifiers theory and algorithms

Artificial Intelligence in Business Management

Federated Learning Fundamentals and Advances

Evolutionary Multi-Task Optimization Foundations and Methodologies

Introduction to Transfer Learning Algorithms and Practice

Probabilistic graphical models : principles and techniques

The minimum description length principle

Introduction to statistical relational learning

Principles of data mining

Principles of data mining

Reinforcement learning an introduction

Supervised and unsupervised data engineering for multimedia data