134 search results - page 2 / 27 » Discriminant Parallel Perceptrons |
AI
2000
Springer
13 years 10 months ago
2000
Springer
ICML
2008
IEEE
14 years 6 months ago
2008
IEEE
We present a discriminative online algorithm with a bounded memory growth, which is based on the kernel-based Perceptron. Generally, the required memory of the kernelbased Percept...
COLT
1997
Springer
13 years 10 months ago
1997
Springer
The problem of learning linear discriminant concepts can be solved by various mistake-driven update procedures, including the Winnow family of algorithms and the well-known Percep...
NECO
2008
13 years 5 months ago
2008
The perceptron (also referred to as McCulloch-Pitts neuron, or linear threshold gate) is commonly used as a simplified model for the discrimination and learning capability of a bi...
ICML
2009
IEEE
14 years 6 months ago
2009
IEEE
In this paper, we investigate a simple, mistakedriven learning algorithm for discriminative training of continuous density hidden Markov models (CD-HMMs). Most CD-HMMs for automat...