54 search results - page 10 / 11 » Learning Mixtures of Product Distributions Using Correlation... |
BMCBI
2007
13 years 7 months ago
2007
Background: With microarray technology, variability in experimental environments such as RNA sources, microarray production, or the use of different platforms, can cause bias. Suc...
KDD
2004
ACM
14 years 7 months ago
2004
ACM
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
SYNASC
2007
IEEE
14 years 1 months ago
2007
IEEE
In recent years several models have been proposed for text categorization. Within this, one of the widely applied models is the vector space model (VSM), where independence betwee...
BMCBI
2006
13 years 7 months ago
2006
Background: Tandem mass spectrometry (MS/MS) is a powerful tool for protein identification. Although great efforts have been made in scoring the correlation between tandem mass sp...
NIPS
2004
13 years 8 months ago
2004
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...