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Add to FavoritesBrains, Meaning and Corpus Statistics
How does the human brain represent meanings of words and pictures in terms of the underlying neural activity? This talk will present our research using machine learning methods together with fMRI b... read more »
| Level: any | Mar 31, 2009 | Votes: 0 | Dmytro Shteflyuk  |
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Non-Myopic Active Learning: A Reinfor...
Active learning considers the problem of actively choosing the training data. This is particularly useful in settings where the training data is limited or comes with a price and therefore the lear... read more »
| Level: any | Mar 31, 2009 | Votes: 0 | Dmytro Shteflyuk |
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MountainWest RubyConf 2009: Machine L...
Author: David Richards read more »
| Level: any | Mar 29, 2009 | Votes: 0 | Dmytro Shteflyuk |
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Machine Learning and Machine Translation
In this talk I'll outline our work at the University of Edinburgh to model machine translation (MT) as a probabilistic machine learning problem. Although MT systems have made large gains in transla... read more »
| Level: any | Dec 09, 2008 | Votes: 0 | Dmytro Shteflyuk |
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EM Works for Pronoun-Anaphora Resolution
EM (the Expectation Maximization algorithm) is a well known technique for unsupervised learning (where one does not have any hand labeled solutions available, but instead one must learn from the ra... read more »
| Level: any | Dec 09, 2008 | Votes: 0 | Dmytro Shteflyuk |
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Visual Perception with Deep Learning
A long-term goal of Machine Learning research is to solve highy complex "intelligent" tasks, such as visual perception auditory perception, and language understanding. To reach that goal,... read more »
| Level: any | Dec 05, 2008 | Votes: 0 | Dmytro Shteflyuk |
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Enabling Object Search rather than Pa...
Many users really want to find objects rather than pages. In the past few years, there has been significant progress in research in machine learning methods for information extraction (IE). I'll de... read more »
| Level: any | Dec 05, 2008 | Votes: 0 | Dmytro Shteflyuk |
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Adaptive Algorithms for Online Optimi...
The online learning framework captures a wide variety of learning problems. The setting is as follows - in each round, we have to choose a point from some fixed convex domain. Then, we are presente... read more »
| Level: any | Dec 05, 2008 | Votes: 0 | Dmytro Shteflyuk |
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Finding frequent patterns from data
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 fro... read more »
| Level: advanced | Oct 28, 2008 | Votes: 0 | Dmytro Shteflyuk |
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Patterns in sets of points: an overview
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 embe... read more »
| Level: advanced | Oct 28, 2008 | Votes: 0 | Dmytro Shteflyuk |
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