993 search results - page 155 / 199 » Learning RoboCup-Keepaway with Kernels |
ESANN
2007
14 years 11 months ago
2007
Imprecision, incompleteness, prior knowledge or improved learning speed can motivate interval–represented data. Most approaches for SVM learning of interval data use local kernel...
NIPS
2000
14 years 11 months ago
2000
We present an improvement of Noviko 's perceptron convergence theorem. Reinterpreting this mistakebound as a margindependent sparsity guarantee allows us to give a PAC{style ...
NIPS
2007
14 years 11 months ago
2007
Incorporating invariances into a learning algorithm is a common problem in machine learning. We provide a convex formulation which can deal with arbitrary loss functions and arbit...
ACL
2006
14 years 11 months ago
2006
In this paper we define a novel similarity measure between examples of textual entailments and we use it as a kernel function in Support Vector Machines (SVMs). This allows us to ...
FLAIRS
2006
14 years 11 months ago
2006
We introduce a novel learning algorithm for noise elimination. Our algorithm is based on the re-measurement idea for the correction of erroneous observations and is able to discri...