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» Finding nuggets in documents: A machine learning approach
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IJCAI
2001
15 years 1 months ago
Reinforcement Learning in Distributed Domains: Beyond Team Games
Using a distributed algorithm rather than a centralized one can be extremely beneficial in large search problems. In addition, the incorporation of machine learning techniques lik...
David Wolpert, Joseph Sill, Kagan Tumer
ICML
2004
IEEE
16 years 1 months ago
Predictive automatic relevance determination by expectation propagation
In many real-world classification problems the input contains a large number of potentially irrelevant features. This paper proposes a new Bayesian framework for determining the r...
Yuan (Alan) Qi, Thomas P. Minka, Rosalind W. Picar...
79
Voted
MT
2002
107views more  MT 2002»
15 years 1 days ago
Translation with Scarce Bilingual Resources
Machine translation of human languages is a field almost as old as computers themselves. Recent approaches to this challenging problem aim at learning translation knowledge automat...
Yaser Al-Onaizan, Ulrich Germann, Ulf Hermjakob, K...
113
Voted
IEEESCC
2007
IEEE
15 years 6 months ago
Business-Activity Driven Search: Addressing the Information Needs of Services Professionals
Services business generates significant amount of human and machine created data. Search and discovery of relevant information from this data is a critical factor in enhancing wor...
Nithya Rajamani, Murthy V. Devarakonda, Yu Deng, W...
ICML
2006
IEEE
16 years 1 months ago
Categorization in multiple category systems
We explore the situation in which documents have to be categorized into more than one category system, a situation we refer to as multiple-view categorization. More particularly, ...
Éric Gaussier, Cyril Goutte, Françoi...