Englisches Buch - Autor(en): Tom M. Mitchell
Verlag: McGraw-Hill Higher Education*McGraw-Hill Professional, 1997
This book covers the field of machine learning, which is the study of algorithms that allow computer programs to automatically improve through experience.
Englisches Buch - Autor(en): Christopher M. Bishop
Verlag: Springer, Berlin, 2009
The dramatic growth in practical applications for machine learning over the last ten years has been accompanied by many important developments in the underlying algorithms and techniques.
Practical Machine Learning Tools and Techniques
Englisches Buch - Autor(en): Ian H. Witten, Eibe Frank, Mark A. Hall
Verlag: Morgan Kaufmann, 2011
As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Exaggerated reports tell of secrets that can be uncovered by setting algorithms loose on oceans of data.
Applications to Data Mining
Englisches Buch
Verlag: Springer, Berlin, 2010
This book discusses several approaches to obtaining knowledge concerning the performance of machine learning and data mining algorithms. It shows how this knowledge can be reused to select, combine, compose and adapt both algorithms and models.
A Data-driven Methodology for Dialogue Management and Natural Language Generation
Englisches Buch - Autor(en): Verena Rieser, Oliver Lemon
Verlag: Springer, Berlin, 2011
This book contributes to progress in spoken dialogue systems with a new, data-driven methodology. Covers Spoken and Multimodal dialogue systems; Wizard-of-Oz data collection; User Simulation methods; Reinforcement Learning and Evaluation methodologies.
Englisches Buch - Autor(en): Simon Haykin
Verlag: Prentice Hall International, 2009
For graduate-level neural network courses offered in the departments of Computer Engineering, Electrical Engineering, and Computer Science.
Case studies and algorithms to get you started
Englisches Buch - Autor(en): Drew Conway, John Myles White
Verlag: O'Reilly Media, 2012
Now that storage and collection technologies are cheaper and more precise, methods for extracting relevant information from large datasets is within the reach any experienced programmer willing to crunch data.
Englisches Buch - Autor(en): Nello Cristianini, John Shawe-Taylor
Verlag: Cambridge University Press, 2001
A comprehensive introduction to this recent method for machine learning and data mining. This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning
Novel Strategies
Englisches Buch - Autor(en): Amparo Albalate, Wolfgang Minker
Verlag: Wiley & Sons, 2011
The book addresses the main topics and techniques used for the rapid design, adaptation, and improvement of high-performance statistical spoken language dialog systems.
Englisches Buch - Autor(en): Yanqing Zhang, Jagath C. Rajapakse
Verlag: Wiley & Sons, 2008
Machine learning techniques such as Markov models, support vector machines, neural networks, graphical models, etc.