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NIPS
2007
13 years 9 months ago
Unsupervised Feature Selection for Accurate Recommendation of High-Dimensional Image Data
Content-based image suggestion (CBIS) targets the recommendation of products based on user preferences on the visual content of images. In this paper, we motivate both feature sel...
Sabri Boutemedjet, Djemel Ziou, Nizar Bouguila
BMCBI
2007
215views more  BMCBI 2007»
13 years 7 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
GLOBECOM
2006
IEEE
14 years 1 months ago
Transmit Beamforming with Finite-Rate Feedback for Frequency-Selective Channels
— In this paper, we consider beamforming with finite– rate feedback for frequency–selective channels with decisionfeedback equalization (DFE) at the receiver. Using average ...
Yang-wen Liang, Robert Schober, Wolfgang H. Gersta...
CHI
2006
ACM
14 years 8 months ago
Increasing user decision accuracy using suggestions
The internet presents people with an increasingly bewildering variety of choices. Online consumers have to rely on computerized search tools to find the most preferred option in a...
Pearl Pu, Paolo Viappiani, Boi Faltings
ITNG
2008
IEEE
14 years 1 months ago
Combinatorial Test Case Selection with Markovian Usage Models
A method of using Markov chain techniques for combinatorial test case selection is presented. The method can be used for statistical and coverage testing of many software programs...
Sergiy A. Vilkomir, W. Thomas Swain, Jesse H. Poor...