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SYNASC
2005
IEEE
97views Algorithms» more  SYNASC 2005»
15 years 9 months ago
A Reinforcement Learning Algorithm for Spiking Neural Networks
The paper presents a new reinforcement learning mechanism for spiking neural networks. The algorithm is derived for networks of stochastic integrate-and-fire neurons, but it can ...
Razvan V. Florian
ICTAI
2003
IEEE
15 years 9 months ago
A Novel Bag Generator for Image Database Retrieval With Multi-Instance Learning Techniques
In multi-instance learning, the training examples are bags composed of instances without labels and the task is to predict the labels of unseen bags through analyzing the training...
Zhi-Hua Zhou, Min-Ling Zhang, Ke-Jia Chen
ECCV
2010
Springer
15 years 8 months ago
Learning to Recognize Objects from Unseen Modalities
Abstract. In this paper we investigate the problem of exploiting multiple sources of information for object recognition tasks when additional modalities that are not present in the...
COOPIS
2004
IEEE
15 years 7 months ago
Learning Classifiers from Semantically Heterogeneous Data
Semantically heterogeneous and distributed data sources are quite common in several application domains such as bioinformatics and security informatics. In such a setting, each dat...
Doina Caragea, Jyotishman Pathak, Vasant Honavar
COLT
2006
Springer
15 years 7 months ago
A Randomized Online Learning Algorithm for Better Variance Control
We propose a sequential randomized algorithm, which at each step concentrates on functions having both low risk and low variance with respect to the previous step prediction functi...
Jean-Yves Audibert