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» A Framework for Multiple-Instance Learning
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222
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ICDE
2007
IEEE
114views Database» more  ICDE 2007»
16 years 4 months ago
A Load Shedding Framework and Optimizations for M-way Windowed Stream Joins
Tuple dropping, though commonly used for load shedding in most stream operations, is inadequate for m-way, windowed stream joins. The join output rate can be overly reduced becaus...
Bugra Gedik, Kun-Lung Wu, Philip S. Yu, Ling Liu
114
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AIRS
2009
Springer
15 years 9 months ago
A Latent Dirichlet Framework for Relevance Modeling
Relevance-based language models operate by estimating the probabilities of observing words in documents relevant (or pseudo relevant) to a topic. However, these models assume that ...
Viet Ha-Thuc, Padmini Srinivasan
126
Voted
ICALT
2003
IEEE
15 years 8 months ago
Initializing Student Models in Web-Based ITSs: A Generic Approach
The issue of initializing the model of a new student is of great importance for educational applications that aim at offering individualized support to students. In this paper we ...
Victoria Tsiriga, Maria Virvou
118
Voted
CVPR
2008
IEEE
15 years 4 months ago
Classification via semi-Riemannian spaces
In this paper, we develop a geometric framework for linear or nonlinear discriminant subspace learning and classification. In our framework, the structures of classes are conceptu...
Deli Zhao, Zhouchen Lin, Xiaoou Tang
152
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ACL
2006
15 years 4 months ago
Combining Statistical and Knowledge-Based Spoken Language Understanding in Conditional Models
Spoken Language Understanding (SLU) addresses the problem of extracting semantic meaning conveyed in an utterance. The traditional knowledge-based approach to this problem is very...
Ye-Yi Wang, Alex Acero, Milind Mahajan, John Lee