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» Network Performance Assessment for Neurofuzzy Data Modelling
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121
Voted
NIPS
2007
15 years 5 months ago
Neural characterization in partially observed populations of spiking neurons
Point process encoding models provide powerful statistical methods for understanding the responses of neurons to sensory stimuli. Although these models have been successfully appl...
Jonathan Pillow, Peter E. Latham
112
Voted
NIPS
2003
15 years 5 months ago
Nonstationary Covariance Functions for Gaussian Process Regression
We introduce a class of nonstationary covariance functions for Gaussian process (GP) regression. Nonstationary covariance functions allow the model to adapt to functions whose smo...
Christopher J. Paciorek, Mark J. Schervish
139
Voted
MIAR
2010
IEEE
15 years 2 months ago
Computational Decision Support for Percutaneous Aortic Valve Implantation
Valve replacement is the most common therapy for diseased aortic valves. Percutaneous approaches are becoming increasingly popular, due to reduced procedural complications and lowe...
Ingmar Voigt, Razvan Ioan Ionasec, Bogdan Georgesc...
118
Voted
AINA
2007
IEEE
15 years 10 months ago
Detecting Coordinated Distributed Multiple Attacks
This paper describes results concerning the robustness and generalization capabilities of kernel methods in detecting coordinated distributed multiple attacks (CDMA) using network...
Srinivas Mukkamala, Krishna Yendrapalli, Ram B. Ba...
106
Voted
ICML
2010
IEEE
15 years 4 months ago
Deep Supervised t-Distributed Embedding
Deep learning has been successfully applied to perform non-linear embedding. In this paper, we present supervised embedding techniques that use a deep network to collapse classes....
Martin Renqiang Min, Laurens van der Maaten, Zinen...