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JAIR
2000
102views more  JAIR 2000»
15 years 4 months ago
A Model of Inductive Bias Learning
A major problem in machine learning is that of inductive bias: how to choose a learner's hypothesis space so that it is large enough to contain a solution to the problem bein...
Jonathan Baxter
ICDM
2009
IEEE
92views Data Mining» more  ICDM 2009»
15 years 2 months ago
Semi-supervised Multi-task Learning with Task Regularizations
Multi-task learning refers to the learning problem of performing inference by jointly considering multiple related tasks. There have already been many research efforts on supervise...
Fei Wang, Xin Wang, Tao Li
ICML
2005
IEEE
16 years 5 months ago
ROC confidence bands: an empirical evaluation
This paper is about constructing confidence bands around ROC curves. We first introduce to the machine learning community three band-generating methods from the medical field, and...
Sofus A. Macskassy, Foster J. Provost, Saharon Ros...
ICALT
2003
IEEE
15 years 9 months ago
Students' Understanding of Computer Networks in an Internationally Distributed Course
The different ways in which concepts within computer networks are understood by master level students who take an internationally distributed project-based course have been identi...
Anders Berglund, Arnold Neville Pears
GECCO
2010
Springer
212views Optimization» more  GECCO 2010»
15 years 9 months ago
Generative and developmental systems
This paper argues that multiagent learning is a potential “killer application” for generative and developmental systems (GDS) because key challenges in learning to coordinate ...
Kenneth O. Stanley