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CIKM
2010
Springer
14 years 10 months ago
Predicting short-term interests using activity-based search context
A query considered in isolation offers limited information about a searcher's intent. Query context that considers pre-query activity (e.g., previous queries and page visits)...
Ryen W. White, Paul N. Bennett, Susan T. Dumais
114
Voted
ICPR
2008
IEEE
15 years 10 months ago
Embedding HMM's-based models in a Euclidean space: The topological hidden Markov models
One of the major limitations of HMM-based models is the inability to cope with topology: When applied to a visible observation (VO) sequence, HMM-based techniques have difficulty ...
Djamel Bouchaffra
135
Voted
KDD
2004
ACM
166views Data Mining» more  KDD 2004»
16 years 3 months ago
Predicting prostate cancer recurrence via maximizing the concordance index
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
Lian Yan, David Verbel, Olivier Saidi
127
Voted
IPPS
2003
IEEE
15 years 8 months ago
An Executable Analytical Performance Evaluation Approach for Early Performance Prediction
Percolation has recently been proposed as a key component of an advanced program execution model for future generation high-end machines featuring adaptive data/code transformatio...
Adeline Jacquet, Vincent Janot, Clement Leung, Gua...
179
Voted
AMDO
2006
Springer
15 years 7 months ago
Predicting 3D People from 2D Pictures
Abstract. We propose a hierarchical process for inferring the 3D pose of a person from monocular images. First we infer a learned view-based 2D body model from a single image using...
Leonid Sigal, Michael J. Black