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ICANN
2007
Springer
15 years 8 months ago
MaxSet: An Algorithm for Finding a Good Approximation for the Largest Linearly Separable Set
Finding the largest linearly separable set of examples for a given Boolean function is a NP-hard problem, that is relevant to neural network learning algorithms and to several prob...
Leonardo Franco, José Luis Subirats, Jos&ea...
129
Voted
IPMI
2005
Springer
15 years 7 months ago
Automated Detection of Small-Size Pulmonary Nodules Based on Helical CT Images
Abstract. A computer-aided diagnosis (CAD) system to detect smallsize (from 2 mm to around 10 mm) pulmonary nodules in helical CT scans is developed. This system uses different sc...
Xiangwei Zhang, Geoffrey McLennan, Eric A. Hoffman...
FLAIRS
2004
15 years 3 months ago
A Method Based on RBF-DDA Neural Networks for Improving Novelty Detection in Time Series
Novelty detection in time series is an important problem with application in different domains such as machine failure detection, fraud detection and auditing. An approach to this...
Adriano L. I. Oliveira, Fernando Buarque de Lima N...
ICNC
2005
Springer
15 years 7 months ago
Applying Genetic Programming to Evolve Learned Rules for Network Anomaly Detection
The DARPA/MIT Lincoln Laboratory off-line intrusion detection evaluation data set is the most widely used public benchmark for testing intrusion detection systems. But the presence...
Chuanhuan Yin, Shengfeng Tian, Houkuan Huang, Jun ...
124
Voted
NIPS
2008
15 years 3 months ago
Deep Learning with Kernel Regularization for Visual Recognition
In this paper we aim to train deep neural networks for rapid visual recognition. The task is highly challenging, largely due to the lack of a meaningful regularizer on the functio...
Kai Yu, Wei Xu, Yihong Gong