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» Practical Preference Relations for Large Data Sets
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172
Voted
ECAI
2000
Springer
15 years 9 months ago
Learning Efficiently with Neural Networks: A Theoretical Comparison between Structured and Flat Representations
Abstract. We are interested in the relationship between learning efficiency and representation in the case of supervised neural networks for pattern classification trained by conti...
Marco Gori, Paolo Frasconi, Alessandro Sperduti
163
Voted
AICOM
2008
95views more  AICOM 2008»
15 years 5 months ago
A multilayer ontology-based hybrid recommendation model
We propose a novel hybrid recommendation model in which user preferences and item features are described in terms of semantic concepts defined in domain ontologies. The exploitati...
Iván Cantador, Alejandro Bellogín, P...
RECOMB
2004
Springer
16 years 6 months ago
Computational identification of evolutionarily conserved exons
Phylogenetic hidden Markov models (phylo-HMMs) have recently been proposed as a means for addressing a multispecies version of the ab initio gene prediction problem. These models ...
Adam C. Siepel, David Haussler
IUI
2009
ACM
16 years 2 months ago
Using salience to segment desktop activity into projects
Knowledge workers must manage large numbers of simultaneous, ongoing projects that collectively involve huge numbers of resources (documents, emails, web pages, calendar items, et...
Daniel Lowd, Nicholas Kushmerick
CSE
2009
IEEE
16 years 11 days ago
Autonomous Management and Control of Sensor Network-Based Applications
—A central challenge facing sensor network research and development is the difficulty in providing effective autonomous management capability. This is due to a large number of p...
Antonio G. Ruzzelli, Conor Muldoon, Anthony Schoof...