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UM
2005
Springer
15 years 10 months ago
Data-Driven Refinement of a Probabilistic Model of User Affect
We present further developments in our work on using data from real users to build a probabilistic model of user affect based on Dynamic Bayesian Networks (DBNs) and designed to de...
Cristina Conati, Heather Maclaren
NPL
2006
85views more  NPL 2006»
15 years 5 months ago
A Neural Model for Context-dependent Sequence Learning
A novel neural network model is described that implements context-dependent learning of complex sequences. The model utilises leaky integrate-and-fire neurons to extract timing inf...
Luc Berthouze, Adriaan G. Tijsseling
130
Voted
AINA
2009
IEEE
15 years 10 months ago
An Analytical Performance Evaluation for WSNs Using Loop-Free Bellman Ford Protocol
—Although several analytical models have been proposed for wireless sensor networks (WSNs) with different capabilities, very few of them consider the effect of general service di...
Mohammad Baharloo, Reza Hajisheykhi, Mohammad Arjo...
150
Voted
JCIT
2007
150views more  JCIT 2007»
15 years 5 months ago
A Dynamic Knowledge Representation Model based on Hybrid Approach
Our fundamental objective is to tackle the problem faced in the field of information retrieval and classification in the current era of information overflow by proposing better an...
Reena T. N. Shetty, Pierre-Michel Riccio, Joë...
158
Voted
LCN
2003
IEEE
15 years 10 months ago
Evaluating System Performance in Gigabit Networks
- With the current wide deployment of Gigabit Ethernet technology in the backbone and workgroup switches, the network performance bottleneck has shifted for the first time in nearl...
Khaled Salah, K. El-Badawi