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» Learning and reasoning about interruption
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CSL
1998
Springer
13 years 8 months ago
Evaluating spoken dialogue agents with PARADISE: Two case studies
This paper presents PARADISE PARAdigm for DIalogue System Evaluation, a general framework for evaluating and comparing the performance of spoken dialogue agents. The framework d...
Marilyn A. Walker, Diane J. Litman, Candace A. Kam...
COLT
1999
Springer
14 years 28 days ago
Regret Bounds for Prediction Problems
We present a unified framework for reasoning about worst-case regret bounds for learning algorithms. This framework is based on the theory of duality of convex functions. It brin...
Geoffrey J. Gordon
IJCAI
1989
13 years 9 months ago
A Critique of the Valiant Model
This paper considers the Valiant framework as it is applied to the task of learning logical concepts from random examples. It is argued that the current interpretation of this Val...
Wray L. Buntine
ICDM
2007
IEEE
101views Data Mining» more  ICDM 2007»
14 years 3 months ago
Lightweight Distributed Trust Propagation
Using mobile devices, such as smart phones, people may create and distribute different types of digital content (e.g., photos, videos). One of the problems is that digital content...
Daniele Quercia, Stephen Hailes, Licia Capra
RSS
2007
198views Robotics» more  RSS 2007»
13 years 10 months ago
CRF-Matching: Conditional Random Fields for Feature-Based Scan Matching
— Matching laser range scans observed at different points in time is a crucial component of many robotics tasks, including mobile robot localization and mapping. While existing t...
Fabio T. Ramos, Dieter Fox, Hugh F. Durrant-Whyte