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ECML
2007
Springer
16 years 21 days ago
Learning to Classify Documents with Only a Small Positive Training Set
Many real-world classification applications fall into the class of positive and unlabeled (PU) learning problems. In many such applications, not only could the negative training ex...
Xiaoli Li, Bing Liu, See-Kiong Ng
IROS
2009
IEEE
150views Robotics» more  IROS 2009»
16 years 1 months ago
Topological SLAM using neighbourhood information of places
— Perceptual aliasing makes topological navigation a difficult task. In this paper we present a general approach for topological SLAM (simultaneous localisation and mapping) whi...
Felix Werner, Frédéric Maire, Joaqui...
AAAI
2010
15 years 8 months ago
Community-Guided Learning: Exploiting Mobile Sensor Users to Model Human Behavior
Modeling human behavior requires vast quantities of accurately labeled training data, but for ubiquitous people-aware applications such data is rarely attainable. Even researchers...
Daniel Peebles, Hong Lu, Nicholas D. Lane, Tanzeem...
EMNLP
2011
14 years 6 months ago
Inducing Sentence Structure from Parallel Corpora for Reordering
When translating among languages that differ substantially in word order, machine translation (MT) systems benefit from syntactic preordering—an approach that uses features fro...
John DeNero, Jakob Uszkoreit
CP
2004
Springer
15 years 12 months ago
Leveraging the Learning Power of Examples in Automated Constraint Acquisition
Constraint programming is rapidly becoming the technology of choice for modeling and solving complex combinatorial problems. However, users of constraint programming technology nee...
Christian Bessière, Remi Coletta, Eugene C....