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» The Bias Problem and Language Models in Adaptive Filtering
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ICML
2008
IEEE
14 years 9 months ago
Empirical Bernstein stopping
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...
Csaba Szepesvári, Jean-Yves Audibert, Volod...
ASSISTIVE
1998
Springer
14 years 1 months ago
Providing Intelligent Language Feedback for Augmentative Communication Users
People with severe speech and motor impairments SSMI can often use augmentative communication devices to help them communicate. While these devices can provide speech synthesis or ...
Christopher A. Pennington, Kathleen F. McCoy
ATAL
2006
Springer
14 years 23 days ago
An adaptive plan-based dialogue agent: integrating learning into a BDI architecture
We consider the problem of dialogue adaptation in our Smart Personal Assistant (SPA), which uses a plan-based dialogue model. We present a novel way of integrating learning into a...
Anh Nguyen, Wayne Wobcke
EMNLP
2010
13 years 7 months ago
Modeling Perspective Using Adaptor Grammars
Strong indications of perspective can often come from collocations of arbitrary length; for example, someone writing get the government out of my X is typically expressing a conse...
Eric Hardisty, Jordan L. Boyd-Graber, Philip Resni...
CPAIOR
2004
Springer
14 years 23 days ago
Building Models through Formal Specification
Abstract. Over the past years, a number of increasingly expressive languages for modelling constraint and optimisation problems have evolved. In developing a strategy to ease the c...
Gerrit Renker, Hatem Ahriz