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SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
15 years 2 months ago
Cluster Ensemble Selection
This paper studies the ensemble selection problem for unsupervised learning. Given a large library of different clustering solutions, our goal is to select a subset of solutions t...
Xiaoli Z. Fern, Wei Lin
90
Voted
ICALT
2007
IEEE
15 years 7 months ago
Cultivating the Web 2.0 jungle
The quality of a learning process is not something that is delivered to a learner by an online provider but rather constitutes a process of co-production between the learner and t...
Madhumita Bhattacharya, Jon Dron
98
Voted
MCS
2005
Springer
15 years 6 months ago
Between Two Extremes: Examining Decompositions of the Ensemble Objective Function
We study how the error of an ensemble regression estimator can be decomposed into two components: one accounting for the individual errors and the other accounting for the correlat...
Gavin Brown, Jeremy L. Wyatt, Ping Sun
84
Voted
NIME
2004
Springer
122views Music» more  NIME 2004»
15 years 6 months ago
Digital Instruments and Players: Part I - Efficiency and Apprenticeship
When envisaging new digital instruments, designers do not have to limit themselves to their sonic capabilities (which can be absolutely any), not even to their algorithmic power; ...
Sergi Jordà
SIGIR
2010
ACM
15 years 4 months ago
Supervised query modeling using wikipedia
We use Wikipedia articles to semantically inform the generation of query models. To this end, we apply supervised machine learning to automatically link queries to Wikipedia artic...
Edgar Meij, Maarten de Rijke