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» Language Learning from Stochastic Input
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ACL
2010
14 years 7 months ago
The Impact of Interpretation Problems on Tutorial Dialogue
Supporting natural language input may improve learning in intelligent tutoring systems. However, interpretation errors are unavoidable and require an effective recovery policy. We...
Myroslava Dzikovska, Johanna D. Moore, Natalie B. ...
EMNLP
2009
14 years 7 months ago
Reverse Engineering of Tree Kernel Feature Spaces
We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernelbased machine, e.g. ...
Daniele Pighin, Alessandro Moschitti
JMLR
2012
12 years 12 months ago
Generic Methods for Optimization-Based Modeling
“Energy” models for continuous domains can be applied to many problems, but often suffer from high computational expense in training, due to the need to repeatedly minimize t...
Justin Domke
CVPR
2009
IEEE
1528views Computer Vision» more  CVPR 2009»
16 years 1 months ago
Structured Output-Associative Regression
Structured outputs such as multidimensional vectors or graphs are frequently encountered in real world pattern recognition applications such as computer vision, natural language pr...
Liefeng Bo and Cristian Sminchisescu
ICST
2009
IEEE
15 years 4 months ago
Using JML Runtime Assertion Checking to Automate Metamorphic Testing in Applications without Test Oracles
It is challenging to test applications and functions for which the correct output for arbitrary input cannot be known in advance, e.g. some computational science or machine learni...
Christian Murphy, Kuang Shen, Gail E. Kaiser