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AAAI
2008
14 years 2 days ago
Combining Global Relevance Information with Local Contextual Clues for Event-Oriented Information Extraction
Existing Information Extraction systems tend to focus on a tight window of context surrounding the desired information to be extracted. This leads to a number of shortcomings in t...
Siddharth Patwardhan
AAAI
2008
14 years 2 days ago
Instance-level Semisupervised Multiple Instance Learning
Multiple instance learning (MIL) is a branch of machine learning that attempts to learn information from bags of instances. Many real-world applications such as localized content-...
Yangqing Jia, Changshui Zhang
AAAI
2008
14 years 2 days ago
Active Learning for Pipeline Models
For many machine learning solutions to complex applications, there are significant performance advantages to decomposing the overall task into several simpler sequential stages, c...
Dan Roth, Kevin Small
AAAI
2008
14 years 2 days ago
Studies in Solution Sampling
We introduce novel algorithms for generating random solutions from a uniform distribution over the solutions of a boolean satisfiability problem. Our algorithms operate in two pha...
Vibhav Gogate, Rina Dechter
AAAI
2008
14 years 2 days ago
A First-Order Theory of Stanislavskian Scene Analysis
At the turn of the last century, Constantin Stanislavski developed a new system of acting, replacing the mannered gestures and forced emotion then popular with a more natural styl...
Leora Morgenstern