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IJRR
2010
107views more  IJRR 2010»
14 years 9 months ago
Non-parametric Learning to Aid Path Planning over Slopes
— This paper addresses the problem of closing the loop from perception to action selection for unmanned ground vehicles, with a focus on navigating slopes. A new non-parametric l...
Sisir Karumanchi, Thomas Allen, Tim Bailey, Steve ...
71
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EMNLP
2008
15 years 10 days ago
Seed and Grow: Augmenting Statistically Generated Summary Sentences using Schematic Word Patterns
We examine the problem of content selection in statistical novel sentence generation. Our approach models the processes performed by professional editors when incorporating materi...
Stephen Wan, Robert Dale, Mark Dras, Cécile...
86
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BMCBI
2008
154views more  BMCBI 2008»
14 years 11 months ago
Bayesian models and meta analysis for multiple tissue gene expression data following corticosteroid administration
Background: This paper addresses key biological problems and statistical issues in the analysis of large gene expression data sets that describe systemic temporal response cascade...
Yulan Liang, Arpad Kelemen
ICML
2003
IEEE
15 years 11 months ago
Representational Issues in Meta-Learning
To address the problem of algorithm selection for the classification task, we equip a relational case base with new similarity measures that are able to cope with multirelational ...
Alexandros Kalousis, Melanie Hilario
EMNLP
2007
15 years 10 days ago
Unsupervised Part-of-Speech Acquisition for Resource-Scarce Languages
This paper proposes a new bootstrapping approach to unsupervised part-of-speech induction. In comparison to previous bootstrapping algorithms developed for this problem, our appro...
Sajib Dasgupta, Vincent Ng