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» Selectivity Estimation using Probabilistic Models
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ACL
2009
15 years 8 days ago
Reinforcement Learning for Mapping Instructions to Actions
In this paper, we present a reinforcement learning approach for mapping natural language instructions to sequences of executable actions. We assume access to a reward function tha...
S. R. K. Branavan, Harr Chen, Luke S. Zettlemoyer,...
ICASSP
2011
IEEE
14 years 6 months ago
Decision tree-based context clustering based on cross validation and hierarchical priors
The standard, ad-hoc stopping criteria used in decision tree-based context clustering are known to be sub-optimal and require parameters to be tuned. This paper proposes a new app...
Heiga Zen, Mark J. F. Gales
124
Voted
BMCBI
2008
154views more  BMCBI 2008»
15 years 2 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
138
Voted
BMCBI
2007
158views more  BMCBI 2007»
15 years 2 months ago
Penalized likelihood for sparse contingency tables with an application to full-length cDNA libraries
Background: The joint analysis of several categorical variables is a common task in many areas of biology, and is becoming central to systems biology investigations whose goal is ...
Corinne Dahinden, Giovanni Parmigiani, Mark C. Eme...
ICCV
2011
IEEE
14 years 2 months ago
DTAM: Dense Tracking and Mapping in Real-Time
DTAM is a system for real-time camera tracking and reconstruction which relies not on feature extraction but dense, every pixel methods. As a single hand-held RGB camera flies ov...
Richard A. Newcombe, Steven Lovegrove, Andrew J. D...