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» Using a Non-prior Training Active Feature Model
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EMNLP
2009
15 years 2 months ago
Perceptron Reranking for CCG Realization
This paper shows that discriminative reranking with an averaged perceptron model yields substantial improvements in realization quality with CCG. The paper confirms the utility of...
Michael White, Rajakrishnan Rajkumar
DAGSTUHL
2003
15 years 5 months ago
Components, Features, and Agents in the ABC
Abstract. In this paper, we show how the concepts of objects, components, features and agents are used today in the Agent Building Center (ABC) environment in order to marry the mo...
Tiziana Margaria
164
Voted
AAAI
2011
14 years 4 months ago
Heterogeneous Transfer Learning with RBMs
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
Bin Wei, Christopher Pal
WSDM
2010
ACM
160views Data Mining» more  WSDM 2010»
16 years 1 months ago
Learning Concept Importance Using a Weighted Dependence Model
Modeling query concepts through term dependencies has been shown to have a significant positive effect on retrieval performance, especially for tasks such as web search, where rel...
Michael Bendersky, Donald Metzler, W. Bruce Croft
ICRA
2008
IEEE
117views Robotics» more  ICRA 2008»
15 years 11 months ago
Kinematics and calibration of active cannulas
Abstract— Active cannulas are remotely actuated thin continuum robots with the potential to traverse narrow and winding environments without relying on “guiding” environmenta...
Robert J. Webster III, Joseph M. Romano, Noah J. C...