About
Automatic pattern analysis of data is a pillar of modern science, technology and business, with deep roots in statistics, machine learning, pattern recognition, theoretical computer science, and many other fields. A unified conceptual understanding of this strategic field is of utmost importance for researchers as well as for users of this technology. Following the successful workshop held in Erice in 2005 - [[ref:aop05_erice]] this new edition will combine an emphasis on the common principles of this discipline and a focus on its impact on modern science and technology. Automatically finding trends, anomalies, similarities and any other relation of interest in a dataset is a crucial task for theory and applications, where statistical and algorithmic ideas are intertwined, as well as ideas and methods from information theory, optimization, data mining and machine learning. Very often, different communities focus on different aspects or approaches, so that a general view of the problem is difficult to achieve. The goal of this course is precisely this: to bring together and compare different approaches to the problem of detecting and analyzing any type of patterns in any type of data. This course will deal with general themes arising from the analysis of patterns in different disciplines, theor impact on science and technology. The intended audience are students and researchers in statistcs, computer science, data mining, neural networks and data intensive sciences, interested in pattern analysis. The focus will be on unifying principles that underlie classic disciplines such as sequence pattern matching, pattern recognition by means of machine learning systems, etc.
[[http://www.analysis-of-patterns.net/bertinoro_07/index.shtml]]
Videos

Weighted Transducers and Rational Kernels
Dec 14, 2007
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5909 views
Clustering
Dec 14, 2007
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10277 views

Who needs Patterns?
Dec 14, 2007
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3551 views

Magic Moments: Moment-based Approaches to Structured Output Prediction
Dec 14, 2007
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9207 views

Similarity and differences by finite automata
Dec 14, 2007
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5992 views

PAC-Bayes Analysis of Classification
Dec 14, 2007
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9981 views
Pattern Discovery in Bioinformatics
Dec 14, 2007
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7473 views

On-line learning algorithms: theory and practice
Dec 14, 2007
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11274 views

A framework for pattern analysis
Dec 14, 2007
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5133 views

Probabilistic Graphical Models and Structured Prediction
Dec 14, 2007
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12701 views

Support Vector Machines and Kernel Methods
Dec 14, 2007
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14433 views