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SIGIR
2008
ACM
15 years 3 months ago
Learning from labeled features using generalized expectation criteria
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
Gregory Druck, Gideon S. Mann, Andrew McCallum
DAGM
2005
Springer
15 years 9 months ago
Network Snakes-Supported Extraction of Field Boundaries from Imagery
A fully automatic method to extract field boundaries from imagery is described in this paper. The fields are represented together with additional prior knowledge in the form of GIS...
Matthias Butenuth, Christian Heipke
ALDT
2009
Springer
184views Algorithms» more  ALDT 2009»
15 years 8 months ago
Inverse Analysis from a Condorcet Robustness Denotation of Valued Outranking Relations
In this article we develop an indirect approach for assessing criteria significance weights from the robustness of the significance that a decision maker acknowledges for his pai...
Raymond Bisdorff, Patrick Meyer, Thomas Veneziano
156
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NAACL
2010
15 years 1 months ago
Online Learning for Interactive Statistical Machine Translation
State-of-the-art Machine Translation (MT) systems are still far from being perfect. An alternative is the so-called Interactive Machine Translation (IMT) framework. In this framew...
Daniel Ortiz-Martínez, Ismael García...
118
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IROS
2006
IEEE
120views Robotics» more  IROS 2006»
15 years 9 months ago
Learning from Nature to Build Intelligent Autonomous Robots
Information processing within autonomous robots should follow a biomimetic approach. In contrast to traditional approaches that make intensive use of accurate measurements, numeric...
Rainer Bischoff 0002, Volker Graefe