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» Learning from Multiple Sources of Inaccurate Data
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CIKM
2010
Springer
15 years 2 months ago
CiteData: a new multi-faceted dataset for evaluating personalized search performance
Personalized search systems have evolved to utilize heterogeneous features including document hyperlinks, category labels in various taxonomies and social tags in addition to free...
Abhay Harpale, Yiming Yang, Siddharth Gopal, Daqin...
115
Voted
EJASP
2010
116views more  EJASP 2010»
14 years 10 months ago
Data Fusion for Improved Respiration Rate Estimation
Abstract--We present an application of a modified KalmanFilter (KF) framework for data fusion to the estimation of respiratory rate from multiple physiological sources which is rob...
Shamim Nemati, Atul Malhotra, Gari D. Clifford
149
Voted
HIS
2007
15 years 5 months ago
Pareto-based Multi-Objective Machine Learning
—Machine learning is inherently a multiobjective task. Traditionally, however, either only one of the objectives is adopted as the cost function or multiple objectives are aggreg...
Yaochu Jin
137
Voted
CORR
2007
Springer
172views Education» more  CORR 2007»
15 years 3 months ago
A Data-Parallel Version of Aleph
This is to present work on modifying the Aleph ILP system so that it evaluates the hypothesised clauses in parallel by distributing the data-set among the nodes of a parallel or di...
Stasinos Konstantopoulos
SDM
2007
SIAM
162views Data Mining» more  SDM 2007»
15 years 5 months ago
Probabilistic Joint Feature Selection for Multi-task Learning
We study the joint feature selection problem when learning multiple related classification or regression tasks. By imposing an automatic relevance determination prior on the hypo...
Tao Xiong, Jinbo Bi, R. Bharat Rao, Vladimir Cherk...