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ICMLA
2008
15 years 1 months ago
Comprehensible Models for Predicting Molecular Interaction with Heart-Regulating Genes
When using machine learning for in silico modeling, the goal is normally to obtain highly accurate predictive models. Often, however, models should also bring insights into intere...
Cecilia Sönströd, Ulf Johansson, Ulf Nor...
ICALT
2009
IEEE
15 years 6 months ago
Mediating Distribution Models and Access Control for the Exchange of Learning Objects
This paper presents a learning object broker that aims to mediate and control accesses to learning objects offered by the “Learning Resource Exchange”. This broker provides a u...
Jean-Noel Colin, Tien-Dung Le, David Massart
ICML
2009
IEEE
16 years 19 days ago
Online feature elicitation in interactive optimization
Most models of utility elicitation in decision support and interactive optimization assume a predefined set of "catalog" features over which user preferences are express...
Craig Boutilier, Kevin Regan, Paolo Viappiani
EMNLP
2009
14 years 9 months ago
Active Learning by Labeling Features
Methods that learn from prior information about input features such as generalized expectation (GE) have been used to train accurate models with very little effort. In this paper,...
Gregory Druck, Burr Settles, Andrew McCallum
ALT
2011
Springer
13 years 11 months ago
Semantic Communication for Simple Goals Is Equivalent to On-line Learning
Abstract. Previous works [11, 6] introduced a model of semantic communication between a “user” and a “server,” in which the user attempts to achieve a given goal for commun...
Brendan Juba, Santosh Vempala