1138 search results - page 47 / 228 » Scale-Time Kernels and Models |
IDA
2007
Springer
14 years 2 months ago
2007
Springer
The Denclue algorithm employs a cluster model based on kernel density estimation. A cluster is defined by a local maximum of the estimated density function. Data points are assign...
ACL
2004
13 years 10 months ago
2004
We introduce a new method for disambiguating word senses that exploits a nonlinear Kernel Principal Component Analysis (KPCA) technique to achieve accuracy superior to the best pu...
CIDM
2007
IEEE
14 years 23 days ago
2007
IEEE
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
In this paper, we define a family of syntactic kernels for automatic relational learning from pairs of natural language sentences. We provide an efficient computation of such mode...
MLDM
2007
Springer
14 years 2 months ago
2007
Springer
In this paper we propose a new criterion, based on Minimum Description Length (MDL), to estimate an optimal number of clusters. This criterion, called Kernel MDL (KMDL), is particu...