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KDD
2012
ACM
201views Data Mining» more  KDD 2012»
13 years 3 months ago
Learning from crowds in the presence of schools of thought
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
Yuandong Tian, Jun Zhu
SAC
2005
ACM
15 years 7 months ago
Automatic learning of text-to-concept mappings exploiting WordNet-like lexical networks
A great jump towards the advent of the Semantic Web will take place when a critical mass of web resources is available for use in a semantic way. This goal can be reached by the c...
Dario Bonino, Fulvio Corno, Federico Pescarmona
CICLING
2008
Springer
15 years 3 months ago
Unsupervised and Knowledge-Free Learning of Compound Splits and Periphrases
Abstract. We present an approach for knowledge-free and unsupervised recognition of compound nouns for languages that use one-wordcompounds such as Germanic and Scandinavian langua...
Florian Holz, Chris Biemann
BMCBI
2007
157views more  BMCBI 2007»
15 years 1 months ago
Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational
Background: High-throughput peptide and protein identification technologies have benefited tremendously from strategies based on tandem mass spectrometry (MS/MS) in combination wi...
Nico Pfeifer, Andreas Leinenbach, Christian G. Hub...
KER
2007
90views more  KER 2007»
15 years 1 months ago
PLTOOL: A knowledge engineering tool for planning and learning
AI planning solves the problem of generating a correct and efficient ordered set of instantiated activities, from a knowledge base of generic actions, which when executed will tra...
Susana Fernández, Daniel Borrajo, Raquel Fu...