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Preference learning

Preference learning is a subfield in machine learning in which the goal is to learn a predictive preference model from observed preference… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
The systematic use of reinforcers is an essential component of behavioral intervention for individuals diagnosed with Autism… 
Review
2010
Review
2010
In this report, we consider the task of automated assessment of English as a Second Language (ESOL) examination scripts written… 
2007
2007
Abstract In school settings, behavior analysts are often called in to consult on severe behavioral issues that surpass the… 
2004
2004
This paper analyzes the economic consequences of various reforms of the Swiss tax-benefit system using a framework which… 
2004
2004
The United States imports around 25 percent of its merchandise under some form of preferential trade agreement. This paper… 
Review
2001
Review
2001
Stated-preference surveys provide a good opportunity for obtaining information for the construction of choice models, but they… 
2000
2000
In research on cradling, the leftward cradling bias has been observed in the context of holding infants ranging in age from birth… 
1989
1989
Abstract : Scheduling can be formalized as a constraint satisfaction problem. Within this framework activities in a plan are… 
1974
1974
In this paper we present an extension of the model-theoretic framework of semantics in which some pragmatical aspects of natural…