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148
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NIPS
2003
15 years 5 months ago
Laplace Propagation
We present a novel method for approximate inference in Bayesian models and regularized risk functionals. It is based on the propagation of mean and variance derived from the Lapla...
Alexander J. Smola, Vishy Vishwanathan, Eleazar Es...
120
Voted
NIPS
2003
15 years 5 months ago
Sparseness of Support Vector Machines---Some Asymptotically Sharp Bounds
The decision functions constructed by support vector machines (SVM’s) usually depend only on a subset of the training set—the so-called support vectors. We derive asymptotical...
Ingo Steinwart
101
Voted
NIPS
2000
15 years 4 months ago
Occam's Razor
The Bayesian paradigm apparently only sometimes gives rise to Occam's Razor; at other times very large models perform well. We give simple examples of both kinds of behaviour...
Carl Edward Rasmussen, Zoubin Ghahramani
119
Voted
NIPS
1993
15 years 4 months ago
Structural and Behavioral Evolution of Recurrent Networks
This paper introduces GNARL, an evolutionary program which induces recurrent neural networks that are structurally unconstrained. In contrast to constructive and destructive algor...
Gregory M. Saunders, Peter J. Angeline, Jordan B. ...
137
Voted
NAACL
1994
15 years 4 months ago
Microphone-Independent Robust Signal Processing Using Probabilistic Optimum Filtering
A new mapping algorithm for speech recognition relates the features of simultaneous recordings of clean and noisy speech. The model is a piecewise nonfinear transformation appfied...
Leonardo Neumeyer, Mitch Weintraub