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ACL
2010
15 years 4 months ago
Distributional Similarity vs. PU Learning for Entity Set Expansion
Distributional similarity is a classic technique for entity set expansion, where the system is given a set of seed entities of a particular class, and is asked to expand the set u...
Xiaoli Li, Lei Zhang, Bing Liu, See-Kiong Ng
ICML
2005
IEEE
16 years 7 months ago
Compact approximations to Bayesian predictive distributions
We provide a general framework for learning precise, compact, and fast representations of the Bayesian predictive distribution for a model. This framework is based on minimizing t...
Edward Snelson, Zoubin Ghahramani
EDBT
2009
ACM
85views Database» more  EDBT 2009»
16 years 1 months ago
Recursion in XQuery: put your distributivity safety belt on
We introduce a controlled form of recursion in XQuery, an inflationary fixed point operator, familiar from the context of relational databases. This operator imposes restriction...
Loredana Afanasiev, Torsten Grust, Maarten Marx, J...
IROS
2009
IEEE
114views Robotics» more  IROS 2009»
16 years 1 months ago
A Distributed boundary detection algorithm for multi-robot systems
— We describe a distributed boundary detection algorithm suitable for use on multi-robot systems with dynamic network topologies. We assume that each robot has access to its loca...
James McLurkin, Erik D. Demaine
ICTIR
2009
Springer
16 years 1 months ago
Modeling the Score Distributions of Relevant and Non-relevant Documents
Empirical modeling of the score distributions associated with retrieved documents is an essential task for many retrieval applications. In this work, we propose modeling the releva...
Evangelos Kanoulas, Virgiliu Pavlu, Keshi Dai, Jav...