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» Learning Rules from Distributed Data
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ICML
2007
IEEE
16 years 4 months ago
Three new graphical models for statistical language modelling
The supremacy of n-gram models in statistical language modelling has recently been challenged by parametric models that use distributed representations to counteract the difficult...
Andriy Mnih, Geoffrey E. Hinton
ICANN
2005
Springer
15 years 8 months ago
Learning Features of Intermediate Complexity for the Recognition of Biological Motion
Humans can recognize biological motion from strongly impoverished stimuli, like point-light displays. Although the neural mechanism underlying this robust perceptual process have n...
Rodrigo Sigala, Thomas Serre, Tomaso Poggio, Marti...
VLDB
1999
ACM
147views Database» more  VLDB 1999»
15 years 7 months ago
Data-Driven, One-To-One Web Site Generation for Data-Intensive Applications
A data-driven approach can be fruitfully used in the speci cation and automatic generation of data-intensive Web applications, i.e., applications which make large amounts of data ...
Stefano Ceri, Piero Fraternali, Stefano Paraboschi
LPKR
1997
Springer
15 years 7 months ago
A System for Abductive Learning of Logic Programs
We present the system LAP (Learning Abductive Programs) that is able to learn abductive logic programs from examples and from a background abductive theory. A new type of induction...
Evelina Lamma, Paola Mello, Michela Milano, Fabriz...
ICTAI
2008
IEEE
15 years 9 months ago
Information Extraction as an Ontology Population Task and Its Application to Genic Interactions
Ontologies are a well-motivated formal representation to model knowledge needed to extract and encode data from text. Yet, their tight integration with Information Extraction (IE)...
Alain-Pierre Manine, Érick Alphonse, Philip...