Machine Learning : Modeling Data Locally and Globally
Machine Learning - Modeling Data Locally and Globally presents a novel and unified theory that tries to seamlessly integrate ...
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Machine Learning Challenges
This book constitutes the refereed post-proceedings of the First PASCAL Machine Learning Challenges Workshop, MLCW 2005. ...
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Machine Learning for Audio, Image and Video Analysis : Theory and Applications
The book is organized in four parts: The first focuses on technical aspects, basic mathematical notions and elementary machine ...
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Machine Learning: ECML 2007
The two premier annual European conferences in the areas of machine learning and data mining have been collocated ever since ...
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Meshfree Methods for Partial Differential Equations II
A Particle Strategy for Solving the Fokker-Planck Equation Modelling the Fiber Orientation Distribution in Steady Recirculating ...
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Multimodal Technologies for Perception of Humans : International Evaluation Workshops CLEAR 2007 and RT 2007, Baltimore, MD, USA, May 8-11, 2007, Revised Selected Papers
This book constitutes the thoroughly refereed joint post-workshop proceedings of two co-located events: the Second International ...
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Neural Nets
This book constitutes the thoroughly refereed postproceedings of the 16th Italian Workshop on Neural Nets, WIRN 2005, as ...
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Novel Algorithms and Techniques In Telecommunications, Automation and Industrial Electronics
Novel Algorithms and Techniques in Telecommunications, Automation and Industrial Electronics includes a set of rigorously ...
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Operator Theory in Krein Spaces and Nonlinear Eigenvalue Problems
They deal with spectral and perturbation theory of linear operators in indefinite inner product spaces and their applications. ...
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Operator Theory in Krein Spaces and Nonlinear Eigenvalue Problems
They deal with spectral and perturbation theory of linear operators in indefinite inner product spaces and their applications. ...
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Privacy in Statistical Databases
Privacy in statistical databases is a discipline whose purpose is to provide - lutions to the con?ict between the increasing ...
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Pro Novell Open Enterprise Server
Author Sander van Vugt comprehensively covers this server product, and takes you through all of the necessary setup stages ...
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Probabilistic Inductive Logic Programming : Theory and Applications
One of the key open questions within arti?cial intelligence is how to combine probability and logic with learning. This question ...
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Recent Advances in Intrusion Detection
Here are the refereed proceedings of the 10th International Symposium on Recent Advances in Intrusion Detection. Papers cover ...
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Regulatory Genomics
Research in the field of gene regulation is evolving rapidly in an ever-changing scientific environment. Microarray techniques ...
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Soft Computing for Information Processing and Analysis
Soft Computing for Information Processing and Analysis" includes reports from the front of soft computing in the internet ...
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Soft Computing admits approximate reasoning, imprecision, uncertainty and partial truth in order to mimic aspects of the ...
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Soft Real-Time Systems: Predictability vs. Efficiency
Hard real-time systems are very predictable, but not sufficiently flexible to adapt to dynamic situations. They are built ...
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Support Vector Machines
This book explains the principles that make support vector machines (SVMs) a successful modelling and prediction tool for ...
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Support Vector Machines for Pattern Classification
I was shocked to see a student’s report on performance comparisons between support vector machines (SVMs) and fuzzy classi?ers ...
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