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PRIB
2009
Springer
209views Bioinformatics» more  PRIB 2009»
16 years 1 months ago
Class Prediction from Disparate Biological Data Sources Using an Iterative Multi-Kernel Algorithm
For many biomedical modelling tasks a number of different types of data may influence predictions made by the model. An established approach to pursuing supervised learning with ...
Yiming Ying, Colin Campbell, Theodoros Damoulas, M...
SMC
2007
IEEE
102views Control Systems» more  SMC 2007»
16 years 25 days ago
An improved immune Q-learning algorithm
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
Zhengqiao Ji, Q. M. Jonathan Wu, Maher A. Sid-Ahme...
IJCNN
2000
IEEE
15 years 10 months ago
Unsupervised Classification of Complex Clusters in Networks of Spiking Neurons
For unsupervised clustering in a network of spiking neurons we develop a temporal encoding of continuously valued data to obtain arbitrary clustering capacity and precision with a...
Sander M. Bohte, Johannes A. La Poutré, Joo...
CSEE
2006
Springer
15 years 10 months ago
SimVBSE: Developing a Game for Value-Based Software Engineering
The development of games in aid of improving and enriching a student's learning experience is again on the rise. The beer game [6] in the field of system dynamics was develop...
Apurva Jain, Barry W. Boehm
ECAI
2008
Springer
15 years 8 months ago
Emergence of Rules in Cell Assemblies of fLIF Neurons
Abstract. There are many examples of intelligent and learning systems that are based either on the connectionist or the symbolic approach. Although the latter can be successfully c...
Roman V. Belavkin, Christian R. Huyck