1037 search results - page 88 / 208 » Learning of Boolean Functions Using Support Vector Machines |
ALT
2006
Springer
14 years 6 months ago
2006
Springer
This paper presents a novel paradigm for learning languages that consists of mapping strings to an appropriate high-dimensional feature space and learning a separating hyperplane i...
COLT
2001
Springer
14 years 1 months ago
2001
Springer
The Kushilevitz-Mansour (KM) algorithm is an algorithm that finds all the “large” Fourier coefficients of a Boolean function. It is the main tool for learning decision trees ...
FOCS
1989
IEEE
14 years 1 months ago
1989
IEEE
In this paper, Boolean functions in ,4C0 are studied using harmonic analysis on the cube. The main result is that an ACO Boolean function has almost all of its “power spectrum”...
ICASSP
2009
IEEE
13 years 6 months ago
2009
IEEE
The human neural responses associated with cognitive events, referred as event related potentials (ERPs), can provide reliable inference for target image detection. Incremental le...
ILP
2005
Springer
14 years 2 months ago
2005
Springer
In this paper we survey work being conducted at Imperial College on the use of machine learning to build Systems Biology models of the effects of toxins on biochemical pathways. Se...