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» Evaluating learning algorithms and classifiers
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LREC
2008
99views Education» more  LREC 2008»
13 years 10 months ago
Characterization of Scientific and Popular Science Discourse in French, Japanese and Russian
We aim to characterize the comparability of corpora, we address this issue in the trilingual context through the distinction of expert and non expert documents. We work separately...
Lorraine Goeuriot, Natalia Grabar, Béatrice...
NAACL
2007
13 years 10 months ago
Unsupervised Natural Language Processing Using Graph Models
In the past, NLP has always been based on the explicit or implicit use of linguistic knowledge. In classical computer linguistic applications explicit rule based approaches prevai...
Chris Biemann
SDM
2007
SIAM
169views Data Mining» more  SDM 2007»
13 years 10 months ago
Rank Aggregation for Similar Items
The problem of combining the ranked preferences of many experts is an old and surprisingly deep problem that has gained renewed importance in many machine learning, data mining, a...
D. Sculley
MSV
2004
13 years 10 months ago
An Effective QBF Solver for Planning Problems
A large number of applications can be represented by quantified Boolean formulas (QBF). Although evaluating QBF is NP-hard and thus very difficult, there has been significant progr...
Charles Otwell, Anja Remshagen, Klaus Truemper
UAI
2003
13 years 10 months ago
Probabilistic Models For Joint Clustering And Time-Warping Of Multidimensional Curves
In this paper we present a family of models and learning algorithms that can simultaneously align and cluster sets of multidimensional curves measured on a discrete time grid. Our...
Darya Chudova, Scott Gaffney, Padhraic Smyth