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KDD
2004
ACM
210views Data Mining» more  KDD 2004»
16 years 4 months ago
Probabilistic author-topic models for information discovery
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
CVPR
2005
IEEE
16 years 6 months ago
Online Learning of Probabilistic Appearance Manifolds for Video-Based Recognition and Tracking
This paper presents an online learning algorithm to construct from video sequences an image-based representation that is useful for recognition and tracking. For a class of object...
Kuang-Chih Lee, David J. Kriegman
STOC
1993
ACM
117views Algorithms» more  STOC 1993»
15 years 8 months ago
Efficient noise-tolerant learning from statistical queries
In this paper, we study the problem of learning in the presence of classification noise in the probabilistic learning model of Valiant and its variants. In order to identify the cl...
Michael J. Kearns
TCAD
1998
127views more  TCAD 1998»
15 years 3 months ago
Gate-level power estimation using tagged probabilistic simulation
In this paper, we present a probabilistic simulation technique to estimate the power consumption of a cmos circuit under a general delay model. This technique is based on the noti...
Chih-Shun Ding, Chi-Ying Tsui, Massoud Pedram
CIKM
2011
Springer
14 years 4 months ago
A probabilistic method for inferring preferences from clicks
Evaluating rankers using implicit feedback, such as clicks on documents in a result list, is an increasingly popular alternative to traditional evaluation methods based on explici...
Katja Hofmann, Shimon Whiteson, Maarten de Rijke