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» Constructive and collaborative learning of algorithms
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97
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CSDA
2007
142views more  CSDA 2007»
15 years 19 days ago
DIVCLUS-T: A monothetic divisive hierarchical clustering method
DIVCLUS-T is a divisive hierarchical clustering algorithm based on a monothetic bipartitional approach allowing the dendrogram of the hierarchy to be read as a decision tree. It i...
Marie Chavent, Yves Lechevallier, Olivier Briant
121
Voted
CORR
2011
Springer
185views Education» more  CORR 2011»
14 years 7 months ago
Large-Scale Collective Entity Matching
There have been several recent advancements in Machine Learning community on the Entity Matching (EM) problem. However, their lack of scalability has prevented them from being app...
Vibhor Rastogi, Nilesh N. Dalvi, Minos N. Garofala...
124
Voted
WSDM
2010
ACM
214views Data Mining» more  WSDM 2010»
15 years 10 months ago
Pairwise Interaction Tensor Factorization for Personalized Tag Recommendation
Tagging plays an important role in many recent websites. Recommender systems can help to suggest a user the tags he might want to use for tagging a specific item. Factorization mo...
Steffen Rendle, Lars Schmidt-Thieme
96
Voted
ICASSP
2009
IEEE
15 years 7 months ago
Visual saliency with side information
We propose novel algorithms for organizing large image and video datasets using both the visual content and the associated sideinformation, such as time, location, authorship, and...
Wei Jiang, Lexing Xie, Shih-Fu Chang
82
Voted
KDD
1998
ACM
120views Data Mining» more  KDD 1998»
15 years 4 months ago
Large Datasets Lead to Overly Complex Models: An Explanation and a Solution
This paper explores unexpected results that lie at the intersection of two common themes in the KDD community: large datasets and the goal of building compact models. Experiments ...
Tim Oates, David Jensen