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133
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KDD
2007
ACM
132views Data Mining» more  KDD 2007»
16 years 26 days ago
A scalable modular convex solver for regularized risk minimization
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
Choon Hui Teo, Alex J. Smola, S. V. N. Vishwanatha...
84
Voted
ESWS
2007
Springer
15 years 6 months ago
Minimal Deductive Systems for RDF
Abstract. This paper presents a minimalist program for RDF, by showing how one can do without several predicates and keywords of the RDF Schema vocabulary, obtaining a simpler lang...
Sergio Muñoz, Jorge Pérez, Claudio G...
123
Voted
BMCBI
2006
126views more  BMCBI 2006»
15 years 15 days ago
A minimally invasive multiple marker approach allows highly efficient detection of meningioma tumors
Background: The development of effective frameworks that permit an accurate diagnosis of tumors, especially in their early stages, remains a grand challenge in the field of bioinf...
Andreas Keller, Nicole Ludwig, Nicole Comtesse, An...
121
Voted
SAB
2010
Springer
145views Optimization» more  SAB 2010»
14 years 10 months ago
Minimal Model of Strategy Switching in the Plus-Maze Navigation Task
Prefrontal cortex (PFC) has been implicated in the ability to switch behavioral strategies in response to changes in reward contingencies. A recent experimental study has shown tha...
Denis Sheynikhovich, Laurent Dollé, Ricardo...
AAAI
2012
13 years 2 months ago
Ontological Smoothing for Relation Extraction with Minimal Supervision
Relation extraction, the process of converting natural language text into structured knowledge, is increasingly important. Most successful techniques use supervised machine learni...
Congle Zhang, Raphael Hoffmann, Daniel S. Weld