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JMLR
2002
115views more  JMLR 2002»
15 years 4 months ago
PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
Matthias Seeger
JCB
1998
105views more  JCB 1998»
15 years 4 months ago
Constructing and Counting Phylogenetic Invariants
Abstract. The method of invariants is an approach to the problem of reconstructing the phylogenetic tree of a collection of m taxa using nucleotide sequence data. Models for the re...
Steven N. Evans, Xiaowen Zhou
124
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TIT
1998
80views more  TIT 1998»
15 years 4 months ago
Structural Risk Minimization Over Data-Dependent Hierarchies
The paper introduces some generalizations of Vapnik’s method of structural risk minimisation (SRM). As well as making explicit some of the details on SRM, it provides a result t...
John Shawe-Taylor, Peter L. Bartlett, Robert C. Wi...
TITB
2002
98views more  TITB 2002»
15 years 4 months ago
Fetal lung maturity analysis using ultrasound image features
This pilot study was carried out to find the feasibility of analyzing the maturity of the fetal lung using ultrasound images. Data were collected from normal pregnant women at inte...
K. N. Bhanu Prakash, A. G. Ramakrishnan, S. Suresh...
NECO
2007
115views more  NECO 2007»
15 years 4 months ago
Training Recurrent Networks by Evolino
In recent years, gradient-based LSTM recurrent neural networks (RNNs) solved many previously RNN-unlearnable tasks. Sometimes, however, gradient information is of little use for t...
Jürgen Schmidhuber, Daan Wierstra, Matteo Gag...