Sciweavers

848 search results - page 98 / 170
» Feature selection in a kernel space
Sort
View
ISNN
2011
Springer
12 years 10 months ago
Orthogonal Feature Learning for Time Series Clustering
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
Xiaozhe Wang, Leo Lopes
IJDAR
2006
131views more  IJDAR 2006»
13 years 7 months ago
Genetic engineering of hierarchical fuzzy regional representations for handwritten character recognition
This paper presents a genetic programming based approach for optimizing the feature extraction step of a handwritten character recognizer. This recognizer uses a simple multilayer ...
Christian Gagné, Marc Parizeau
NIPS
2003
13 years 9 months ago
Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data
In this paper we introduce a new underlying probabilistic model for principal component analysis (PCA). Our formulation interprets PCA as a particular Gaussian process prior on a ...
Neil D. Lawrence
ROBIO
2006
IEEE
121views Robotics» more  ROBIO 2006»
14 years 1 months ago
Behaviour Cooperation by Negation for Mobile Robots
— This article presents a behavioural architecture, the Survival Kit (SK), which allows behaviours to cast their multivalued output by means of constraints over an ’action feat...
Pedro Santana, Luís Correia
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
14 years 1 months ago
Exploring medical data using visual spaces with genetic programming and implicit functional mappings
Two medical data sets (Breast cancer and Colon cancer) are investigated within a visual data mining paradigm through the unsupervised construction of virtual reality spaces using ...
Julio J. Valdés, Robert Orchard, Alan J. Ba...