This paper's intention is to adapt prediction algorithms well known in the field of time series analysis to problems being faced in the field of mobile robotics and Human-Robo...
Representing lexicons and sentences with the subsymbolic approach (using techniques such as Self Organizing Map (SOM) or Artificial Neural Network (ANN)) is a relatively new but i...
We propose a new approach for learning Bayesian classifiers from data. Although it relies on traditional Bayesian network (BN) learning algorithms, the effectiveness of our approa...
Evaluation in visual information retrieval is usually performed by executing test queries and calculating recall and precision based on predefined media collections and ground tru...
We present a time–parallel technique for the fast generation of self–similar traffic which is suitable for performance studies of Asynchronous Transfer Mode (ATM) networks. Th...
Ioanis Nikolaidis, C. Anthony Cooper, Kalyan S. Pe...