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» On Learning from Exercises
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ILP
2007
Springer
16 years 27 days ago
Combining Clauses with Various Precisions and Recalls to Produce Accurate Probabilistic Estimates
Statistical Relational Learning (SRL) combines the benefits of probabilistic machine learning approaches with complex, structured domains from Inductive Logic Programming (ILP). W...
Mark Goadrich, Jude W. Shavlik
SEUS
2009
IEEE
16 years 1 months ago
Concurrency and Communication: Lessons from the SHIM Project
Abstract. Describing parallel hardware and software is difficult, especially in an embedded setting. Five years ago, we started the shim project to address this challenge by develo...
Stephen A. Edwards
DIGITALCITIES
2003
Springer
15 years 12 months ago
Digital Cities and the Opportunities for Mobilizing the Information Society: Case Studies from Portugal
The development of case studies in selected Portuguese cities and regions which have been engaged in “digital city” projects is considered in this paper in a way to discuss mai...
José L. Moutinho, Manuel V. Heitor
RSS
2007
151views Robotics» more  RSS 2007»
15 years 8 months ago
Predicting Partial Paths from Planning Problem Parameters
— Many robot motion planning problems can be described as a combination of motion through relatively sparsely filled regions of configuration space and motion through tighter p...
Sarah Finney, Leslie Pack Kaelbling, Tomás ...
ACL
2010
15 years 4 months ago
Bootstrapping Semantic Analyzers from Non-Contradictory Texts
We argue that groups of unannotated texts with overlapping and non-contradictory semantics represent a valuable source of information for learning semantic representations. A simp...
Ivan Titov, Mikhail Kozhevnikov