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» Learning Instance-Specific Predictive Models
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DATAMINE
2006
117views more  DATAMINE 2006»
13 years 8 months ago
A Rule-Based Approach for Process Discovery: Dealing with Noise and Imbalance in Process Logs
Effective information systems require the existence of explicit process models. A completely specified process design needs to be developed in order to enact a given business proce...
Laura Maruster, A. J. M. M. Weijters, Wil M. P. va...
ICIP
2009
IEEE
14 years 9 months ago
Age Regression From Faces Using Random Forests
Predicting the age of a person through face image analysis holds the potential to drive an extensive array of real world applications from human computer interaction and security ...
CORR
2007
Springer
141views Education» more  CORR 2007»
13 years 8 months ago
Bootstrapping Deep Lexical Resources: Resources for Courses
We propose a range of deep lexical acquisition methods which make use of morphological, syntactic and ontological language resources to model word similarity and bootstrap from a ...
Timothy Baldwin
CHI
2004
ACM
14 years 9 months ago
Forecasting presence and availability
We present methods employed in COORDINATE, a prototype service that supports collaboration and communication by learning predictive models that provide forecasts of users' pr...
Joe Tullio, James Begole, Eric Horvitz, Elizabeth ...
AIED
2005
Springer
14 years 2 months ago
Enhancing ITS instruction with integrated assessments of learner mood, motivation and gender
ITS instruction may be enhanced by models of student motivation and mood, in addition to cognitive skills and domain knowledge. In an initial study, self-assessments by high school...
Carole R. Beal, Erin Shaw, Yuan-Chun Chiu, Hyokyeo...