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ECML
2006
Springer
14 years 3 days ago
Margin-Based Active Learning for Structured Output Spaces
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...
Dan Roth, Kevin Small
FC
2006
Springer
109views Cryptology» more  FC 2006»
14 years 3 days ago
A Private Stable Matching Algorithm
Existing stable matching algorithms reveal the preferences of all participants, as well as the history of matches made and broken in the course of computing a stable match. This in...
Philippe Golle
ZUM
2000
Springer
14 years 10 hour ago
Retrenchment, Refinement, and Simulation
: Retrenchment is introduced as a liberalisation of refinement intended to address some of the shortcomings of refinement as sole means of progressing from simple abstract models t...
Richard Banach, Michael Poppleton
AAAI
2008
13 years 10 months ago
Enabling the Interoperability of Large-Scale Legacy Systems
Legacy system data models can interoperate only if their syntactic and semantic differences are resolved. To address this problem, we developed the Intelligent Mapping Toolkit (IM...
Kalyan Moy Gupta, Michael Zang, Adam Gray, David W...
FLAIRS
2008
13 years 10 months ago
Learning to Assess Low-Level Conceptual Understanding
This paper analyzes the impact of several lexical and grammatical features in automated assessment of students' finegrained understanding of tutored concepts. Truly effective...
Rodney D. Nielsen, Wayne Ward, James H. Martin