2918 search results - page 164 / 584 » Learning qualitative models from numerical data |
TNN
2010
13 years 2 months ago
2010
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
AROBOTS
2008
13 years 8 months ago
2008
Autonomous mobile robots need to adapt their behavior to the terrain over which they drive, and to predict the traversability of the terrain so that they can effectively plan thei...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Current hidden Markov acoustic modeling for large vocabulary continuous speech recognition (LVCSR) relies on the availability of abundant labeled transcriptions. Given that speech...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
We consider the problem of clustering in its most basic form where only a local metric on the data space is given. No parametric statistical model is assumed, and the number of cl...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
The core vector machine (CVM) is a recent approach for scaling up kernel methods based on the notion of minimum enclosing ball (MEB). Though conceptually simple, an efficient impl...