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» Large Scale Multiple Kernel Learning
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CORR
2000
Springer
120views Education» more  CORR 2000»
15 years 7 days ago
Scaling Up Inductive Logic Programming by Learning from Interpretations
When comparing inductive logic programming (ILP) and attribute-value learning techniques, there is a trade-off between expressive power and efficiency. Inductive logic programming ...
Hendrik Blockeel, Luc De Raedt, Nico Jacobs, Bart ...
97
Voted
KDD
2004
ACM
117views Data Mining» more  KDD 2004»
16 years 24 days ago
Regularized multi--task learning
Past empirical work has shown that learning multiple related tasks from data simultaneously can be advantageous in terms of predictive performance relative to learning these tasks...
Theodoros Evgeniou, Massimiliano Pontil
CHI
1999
ACM
15 years 4 months ago
The Hotbox: Efficient Access to a Large Number of Menu-Items
The proliferation of multiple toolbars and UI widgets around the perimeter of application windows is an indication that the traditional GUI design of a single menubar is not suffi...
Gordon Kurtenbach, George W. Fitzmaurice, Russell ...
132
Voted
EMNLP
2009
14 years 10 months ago
A Rich Feature Vector for Protein-Protein Interaction Extraction from Multiple Corpora
Because of the importance of proteinprotein interaction (PPI) extraction from text, many corpora have been proposed with slightly differing definitions of proteins and PPI. Since ...
Makoto Miwa, Rune Sætre, Yusuke Miyao, Jun-i...
ECML
2006
Springer
15 years 4 months ago
Efficient Prediction-Based Validation for Document Clustering
Recently, stability-based techniques have emerged as a very promising solution to the problem of cluster validation. An inherent drawback of these approaches is the computational c...
Derek Greene, Padraig Cunningham