Videos tagged with VideoLectures.Net

Discovery of frequent patterns = finding positive conjunctions that are true for a given fraction of the observations - this basic idea can be instantiated in many ways: - finding frequent sets from 0/1 data (association mining) - finding frequent episodes in sequences - finding frequent subgraphs in graphs etc. - efficient algorithms exist -- the levelwise approach - theoretical analysis of th...

1 - "Patterns in sets of points: an overview" "We illustrate the importance of optimization principles in the search for interesting patterns, more in particular for patterns in sets of points embedded in a metric space. This talk will be a journey along the types of patterns in point sets that can efficiently be searched for, and general principles will be outlined. We provide examples from di...

Lecture slides:The Analysis of PatternsThe Value of PatternsPatterns Help Us in Many Ways…Benefits of Detecting PatternsPatterns and IntelligenceThe Instinct for PatternsPatterns and RandomnessPatterns and RandomnessVisualizing PatternsFinding PatternsComputational Pattern FindingThe Analysis of PatternsThe Analysis of PatternsTITLEslide16Another Gold Rush2001The Analysis of PatternsThe Analysi...

Lecture slides:Monotony and Surprise Algorithmic and Combinatorial Foundations of Pattern Discovery http://www.cc.gatech.edu/~axa/papers A) Specialihttp://www.cc.gatech.edu/~axa/papers B) Introductory Material Acknowledgements Gill Bejerano Form \x3D FunctionTITLEBioinformatics the Road AheadAt a joint EU \x2D US panel meetingWhich Information AnywayKing Phillip Came Over For Green SoupThe “Chi...

Suffix tree construction. Mention the new linear time array constructions - - using suffix trees for finding motifs with gaps (some new observations: 0.5 - 1 hours). - finding cis-regulatory motifs by comparative genomics (1 hour) - Hidden Markov techniques for haplotypingAuthor: Esko Ukkonen, University Of Helsinki

Abstract: The lectures will introduce the role of statistics in pattern analysis with a discussion of the difference between pattern significance and pattern stability. We will go on to discuss composite hypothesis testing and the Bonferroni correction. Concentration inequalities will be introduced and used to assess the statistical reliability of empirical estimates. We move to consider unifor...

We focus on large graphs where nodes have attributes, such as a social network where the nodes are labelled with each person’s job title. In such a setting, we want to find subgraphs that match a user query pattern. For example, a ‘star’ query would be, “find a CEO who has strong interactions with a Manager, a Lawyer, and an Accountant, or another structure as close to that as possible”. Simila...

Information, Complexity, Patterns, Randomness and Compression. And how these ideas can be traced back through Hermann Weyl to Leibniz in 1686, and connect them with Godel & Turing and with the question of how math compares & contrasts with physics and with biology.Author: Gregory Chaitin, University Of Auckland

An ideal segmentation algorithm could be applied equally to the problem of isolating organs in a medical volume or to editing a digital photograph without modifying the algorithm, changing parameters, or sacrificing segmentation quality. However, a general-purpose, multiway segmentation of objects in an image/volume remains a challenging problem. In this talk, I will describe a recently develop...

This is an ultra short interview where the posed question is the one that even Gottfried Wilhelm Leibniz posed to himself "What is the pattern" and what research did Gregory Chaitin on this subject.Interviewer: Nello Cristianini, University Of Bristol Interviewee: Gregory Chaitin, University Of Auckland