434 search results - page 66 / 87 » Large-Scale Support Vector Learning with Structural Kernels |
SIGIR
2010
ACM
15 years 3 months ago
2010
ACM
The ability of fast similarity search at large scale is of great importance to many Information Retrieval (IR) applications. A promising way to accelerate similarity search is sem...
113
click to vote
ALT
2006
Springer
15 years 8 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...
ICIAP
2003
ACM
15 years 12 months ago
2003
ACM
In this paper we present a statistical learning scheme for image classification based on a mixture of old fashioned ideas and state of the art learning tools. We represent input i...
PAMI
2006
14 years 11 months ago
2006
Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically re...
ICML
2008
IEEE
16 years 16 days ago
2008
IEEE
Most existing sparse Gaussian process (g.p.) models seek computational advantages by basing their computations on a set of m basis functions that are the covariance function of th...