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FOCI
2007
IEEE
16 years 24 days ago
Opposite Transfer Functions and Backpropagation Through Time
— Backpropagation through time is a very popular discrete-time recurrent neural network training algorithm. However, the computational time associated with the learning process t...
Mario Ventresca, Hamid R. Tizhoosh
ECML
2005
Springer
16 years 1 hour ago
Error-Sensitive Grading for Model Combination
Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...
Surendra K. Singhi, Huan Liu
IJCAI
1997
15 years 7 months ago
Exploration and Adaptation in Multiagent Systems: A Model-based Approach
Agents that operate in a multi-agent system can benefit significantly from adapting to other agents while interacting with them. This work presents a general architecture for a ...
David Carmel, Shaul Markovitch
ICALT
2003
IEEE
15 years 11 months ago
Learning Resources Brokerage Systems: An Agent-Based Virtual Market Model
This paper discusses issues related with learning resources brokerage systems. It introduces a market-based modeling approach and proposes a virtual market model design of a broke...
Nikos Manouselis, Demetrios G. Sampson
143
Voted
TE
2010
76views more  TE 2010»
15 years 1 months ago
Problem-Based Learning in Communication Systems: Student Perceptions and Achievement
The paper presents a curriculum design for, and subsequent evaluation of, a communications systems course using problem-based learning (PBL) as the instructional methodology. It de...
John E. Mitchell, Brian Canavan, Jan Smith