Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics 8th European Conference, EvoBIO 2010, Istanbul, Turkey, April 7-9, 2010. 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 Data Mining in Pattern Recognition 6th International Conference, MLDM 2009, Leipzig, Germany, July 23-25, 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

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

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

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

Machine Learning Techniques for Multimedia Case Studies on Organization and Retrieval

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

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

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

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 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

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

Machine Learning and Data Mining for Computer Security Methods and Applications

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

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

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

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

Inductive logic programming from machine learning to software engineering

Sequential methods in pattern recognition and machine learning

Boosting foundations and algorithms

Semi-supervised learning

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

Learning kernel classifiers theory and algorithms

Federated Learning Fundamentals and Advances

Evolutionary Multi-Task Optimization Foundations and Methodologies

Artificial Intelligence in Business Management

Introduction to Transfer Learning Algorithms and Practice

The minimum description length principle

Introduction to statistical relational learning

Principles of data mining

Reinforcement learning an introduction

Data Science and Predictive Analytics Biomedical and Health Applications using R

Artificial Intelligence-based Healthcare Systems

Utility-based learning from data

Acoustic Sensors for Biomedical Applications

Searching Speech Databases Features, Techniques and Evaluation Measures

Extraction of Prosody for Automatic Speaker, Language, Emotion and Speech Recognition

Inpainting and Denoising Challenges

Source Modeling Techniques for Quality Enhancement in Statistical Parametric Speech Synthesis

Advances in Audio Watermarking Based on Matrix Decomposition

The NIPS '17 Competition: Building Intelligent Systems

Human Language Technologies for Under-Resourced African Languages Design, Challenges, and Prospects

Direction of Arrival Estimation and Localization of Multi-Speech Sources

Application of Wavelets in Speech Processing

Advance Compression and Watermarking Technique for Speech Signals

Ultra Low Bit-Rate Speech Coding

Language Identification Using Spectral and Prosodic Features

Language Identification Using Excitation Source Features

Acoustic Modeling for Emotion Recognition

Advanced Applications of Natural Language Processing for Performing Information Extraction

Advances in Audio Watermarking Based on Singular Value Decomposition

Regularization, optimization, kernels, and support vector machines

Sparse modeling : theory, algorithms, and applications

Robust Speaker Recognition in Noisy Environments

Speech Processing in Mobile Environments

Application of Wavelets in Speech Processing

Multi-label dimensionality reduction

Multilinear subspace learning : dimensionality reduction of multidimensional data

Case-based reasoning a concise introduction

Planning with Markov decision processes an AI perspective

Ensemble methods : foundations and algorithms

Learning with support vector machines

Data integration the relational logic approach

Algorithms for reinforcement learning

Handbook of natural language processing

Embedded systems for biomedical applications