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» Improving Rule Evaluation Using Multitask Learning
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TSD
2009
Springer
15 years 8 months ago
Intraclausal Coordination and Clause Detection as a Preprocessing Step to Dependency Parsing
Abstract. The impact of clause and intraclausal coordination detection to dependency parsing of Slovene is examined. New methods based on machine learning and heuristic rules are p...
Domen Marincic, Matjaz Gams, Tomaz Sef
ICLP
1997
Springer
15 years 5 months ago
Parallel Evaluation Strategies for Functional Logic Languages
We introduce novel, sound, complete, and locally optimal evaluation strategies for functional logic programming languages. Our strategies combine, in a non-trivial way, two landma...
Sergio Antoy, Rachid Echahed, Michael Hanus
SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
15 years 3 months ago
Learning Markov Network Structure using Few Independence Tests
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
Parichey Gandhi, Facundo Bromberg, Dimitris Margar...
102
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ICALT
2007
IEEE
15 years 8 months ago
In Search of Quality Learning Technologies for Online Distributed Classrooms
Recent developments in technology and access have offered the opportunity to improve online learning environments through increased communication, interactivity among participants...
Madhumita Bhattacharya, Jon Dron
ICDM
2005
IEEE
190views Data Mining» more  ICDM 2005»
15 years 7 months ago
Adaptive Clustering: Obtaining Better Clusters Using Feedback and Past Experience
Adaptive clustering uses external feedback to improve cluster quality; past experience serves to speed up execution time. An adaptive clustering environment is proposed that uses ...
Abraham Bagherjeiran, Christoph F. Eick, Chun-Shen...