1339 search results - page 109 / 268 » Learning Functions from Imperfect Positive Data |
140
Voted
ECAI
2006
Springer
15 years 7 months ago
2006
Springer
Abstract. We formulate the problem of least squares temporal difference learning (LSTD) in the framework of least squares SVM (LS-SVM). To cope with the large amount (and possible ...
149
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RECOMB
2001
Springer
16 years 3 months ago
2001
Springer
The recent growth in genomic data and measurements of genome-wide expression patterns allows us to apply computational tools to examine gene regulation by transcription factors. I...
140
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JMLR
2012
13 years 6 months ago
2012
Unsupervised discovery of latent representations, in addition to being useful for density modeling, visualisation and exploratory data analysis, is also increasingly important for...
127
Voted
NN
2002
Springer
15 years 3 months ago
2002
Springer
We propose a new scheme for enlarging generalized learning vector quantization (GLVQ) with weighting factors for the input dimensions. The factors allow an appropriate scaling of ...
107
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ITC
1998
IEEE
15 years 7 months ago
1998
IEEE
A method for measuring inter-symbol interference, duty cycle distortion, random jitter and periodic jitter is described. The Blackman-Tukey method of signal analysis is used. This...