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AAAI
1992
13 years 11 months ago
Causal Approximations
models require the identi cation of abstractions and approximations that are well suited to the task at hand. In this paper we analyze the problem of automatically selecting adequ...
P. Pandurang Nayak
CIVR
2007
Springer
119views Image Analysis» more  CIVR 2007»
14 years 4 months ago
An in-memory relevance feedback technique for high-performance image retrieval systems
Content-based image retrieval with relevant feedback has been widely adopted as the query model of choice for improved effectiveness in image retrieval. The effectiveness of thi...
Ning Yu, Khanh Vu, Kien A. Hua
ECIR
2007
Springer
13 years 11 months ago
Combining Evidence for Relevance Criteria: A Framework and Experiments in Web Retrieval
Abstract. We present a framework that assesses relevance with respect to several relevance criteria, by combining the query-dependent and query-independent evidence indicating thes...
Theodora Tsikrika, Mounia Lalmas
JMLR
2006
103views more  JMLR 2006»
13 years 10 months ago
On Model Selection Consistency of Lasso
Sparsity or parsimony of statistical models is crucial for their proper interpretations, as in sciences and social sciences. Model selection is a commonly used method to find such...
Peng Zhao, Bin Yu
NIPS
2001
13 years 11 months ago
Model Based Population Tracking and Automatic Detection of Distribution Changes
Probabilistic mixture models are used for a broad range of data analysis tasks such as clustering, classification, predictive modeling, etc. Due to their inherent probabilistic na...
Igor V. Cadez, Paul S. Bradley