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» Large-Scale Data Analysis Using Heuristic Methods
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CVPR
2010
IEEE
15 years 11 months ago
Bayes Optimal Kernel Discriminant Analysis
Kernel methods provide an efficient mechanism to derive nonlinear algorithms. In classification problems as well as in feature extraction, kernel-based approaches map the original...
Di You, Aleix Martinez
TASLP
2010
188views more  TASLP 2010»
15 years 5 months ago
MusicBox: Personalized Music Recommendation Based on Cubic Analysis of Social Tags
—Social tagging is becoming increasingly popular in music information retrieval (MIR). It allows users to tag music items like songs, albums, or artists. Social tags are valuable...
Alexandros Nanopoulos, Dimitrios Rafailidis, Panag...
ECIR
2007
Springer
15 years 8 months ago
Combination of Document Priors in Web Information Retrieval
Query-independent features (also called document priors), such as the number of incoming links to a document, its Page-Rank, or the type of its associated URL, have been successfu...
Jie Peng, Iadh Ounis
EDM
2009
110views Data Mining» more  EDM 2009»
15 years 4 months ago
Using Learning Decomposition and Bootstrapping with Randomization to Compare the Impact of Different Educational Interventions o
A basic question of instructional interventions is how effective it is in promoting student learning. This paper presents a study to determine the relative efficacy of different in...
Mingyu Feng, Joseph Beck, Neil T. Heffernan
218
Voted
JMLR
2008
139views more  JMLR 2008»
15 years 6 months ago
Regularization on Graphs with Function-adapted Diffusion Processes
Harmonic analysis and diffusion on discrete data has been shown to lead to state-of-theart algorithms for machine learning tasks, especially in the context of semi-supervised and ...
Arthur D. Szlam, Mauro Maggioni, Ronald R. Coifman