1393 search results - page 253 / 279 » Machine Learning by Function Decomposition |
KDD
2004
ACM
16 years 6 days 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...
MICCAI
2010
Springer
14 years 10 months ago
2010
Springer
The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
FOCS
2007
IEEE
15 years 6 months ago
2007
IEEE
We introduce a new primitive called Intrusion-Resilient Secret Sharing (IRSS), whose security proof exploits the fact that there exist functions which can be efficiently computed ...
107
click to vote
CIKM
2009
Springer
15 years 6 months ago
2009
Springer
Features in many real world applications such as Cheminformatics, Bioinformatics and Information Retrieval have complex internal structure. For example, frequent patterns mined fr...
113
click to vote
NIPS
2004
15 years 1 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...