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AIED
2009
Springer
14 years 5 months ago
Adapting to Student Uncertainty Improves Tutoring Dialogues
This study shows that affect-adaptive computer tutoring can significantly improve performance on learning efficiency and user satisfaction. We compare two different student uncer...
Katherine Forbes-Riley, Diane J. Litman
GECCO
2003
Springer
130views Optimization» more  GECCO 2003»
14 years 4 months ago
A New Approach to Improve Particle Swarm Optimization
Abstract. Particle swarm optimization (PSO) is a new evolutionary computation technique. Although PSO algorithm possesses many attractive properties, the methods of selecting inert...
Liping Zhang, Huanjun Yu, Shangxu Hu
CIKM
2008
Springer
14 years 1 months ago
Efficient and effective link analysis with precomputed salsa maps
SALSA is a link-based ranking algorithm that takes the result set of a query as input, extends the set to include additional neighboring documents in the web graph, and performs a...
Marc Najork, Nick Craswell
IJSNET
2006
133views more  IJSNET 2006»
13 years 11 months ago
On the hop count statistics for randomly deployed wireless sensor networks
: In this paper we focus on exploiting the information provided by a generally accepted and largely ignored hypothesis (the random deployment of the nodes of an ad hoc or wireless ...
Stefan Dulman, Michele Rossi, Paul J. M. Havinga, ...
ICML
2010
IEEE
14 years 2 days ago
A Conditional Random Field for Multiple-Instance Learning
We present MI-CRF, a conditional random field (CRF) model for multiple instance learning (MIL). MI-CRF models bags as nodes in a CRF with instances as their states. It combines di...
Thomas Deselaers, Vittorio Ferrari