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SOFSEM
2010
Springer
16 years 3 months ago
Regret Minimization and Job Scheduling
Regret minimization has proven to be a very powerful tool in both computational learning theory and online algorithms. Regret minimization algorithms can guarantee, for a single de...
Yishay Mansour
ITICSE
2006
ACM
16 years 14 days ago
A web-based service for the automatic detection of roles of variables
Learning elementary programming can be enhanced by introducing the notion of variable roles to students. This paper presents a web-based automatic role detection service that can ...
Petri Gerdt, Jorma Sajaniemi
ICCV
2011
IEEE
14 years 6 months ago
Learning to Cluster Using High Order Graphical Models with Latent Variables
This paper proposes a very general max-margin learning framework for distance-based clustering. To this end, it formulates clustering as a high order energy minimization problem w...
Nikos Komodakis
ACSC
2003
IEEE
15 years 11 months ago
A Web Based Environment for Learning to Program
The purpose of this paper is to describe in detail the current development status of the innovative Environment for Learning to Program (ELP) which provides an interactive web-bas...
Nghi Truong, Peter Bancroft, Paul Roe
PAMI
2006
206views more  PAMI 2006»
15 years 6 months ago
MILES: Multiple-Instance Learning via Embedded Instance Selection
Multiple-instance problems arise from the situations where training class labels are attached to sets of samples (named bags), instead of individual samples within each bag (called...
Yixin Chen, Jinbo Bi, James Ze Wang