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ML
2010
ACM
151views Machine Learning» more  ML 2010»
13 years 6 months ago
Inductive transfer for learning Bayesian networks
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
Roger Luis, Luis Enrique Sucar, Eduardo F. Morales
EUROISI
2008
13 years 9 months ago
Buzz Monitoring in Word Space
This paper discusses the task of tracking mentions of some topically interesting textual entity from a continuously and dynamically changing flow of text, such as a news feed, the ...
Magnus Sahlgren, Jussi Karlgren
CHI
2007
ACM
14 years 8 months ago
Multiple mice for retention tasks in disadvantaged schools
This study evaluates single-mouse and multiple-mouse configurations for computer-aided learning in schools where access to computers is limited due to resource constraints. Multim...
Udai Singh Pawar, Joyojeet Pal, Rahul Gupta, Kenta...
EMNLP
2008
13 years 9 months ago
Modeling Annotators: A Generative Approach to Learning from Annotator Rationales
A human annotator can provide hints to a machine learner by highlighting contextual "rationales" for each of his or her annotations (Zaidan et al., 2007). How can one ex...
Omar Zaidan, Jason Eisner
MSS
2010
IEEE
88views Hardware» more  MSS 2010»
13 years 6 months ago
Case-based belief formation under ambiguity
In this paper, we consider a decision-maker who tries to learn the distribution of outcomes from previously observed cases. For each observed database of cases the decision-maker ...
Jürgen Eichberger, Ani Guerdjikova