Sciweavers

1334 search results - page 83 / 267
» Composite kernel learning
Sort
View
NIPS
2004
15 years 4 months ago
Non-Local Manifold Tangent Learning
We claim and present arguments to the effect that a large class of manifold learning algorithms that are essentially local and can be framed as kernel learning algorithms will suf...
Yoshua Bengio, Martin Monperrus
ICML
2006
IEEE
16 years 4 months ago
Kernel Predictive Linear Gaussian models for nonlinear stochastic dynamical systems
The recent Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent...
David Wingate, Satinder P. Singh
138
Voted
JUCS
2010
155views more  JUCS 2010»
14 years 10 months ago
Authoring and Delivering Personalised Simulations - an Innovative Approach to Adaptive eLearning for Soft Skills
: This paper examines the personalization of online training simulations which are a key modern approach in computer aided education. More specifically it focuses on the difficulti...
Conor Gaffney, Declan Dagger, Vincent Wade
CVPR
2006
IEEE
16 years 5 months ago
Graph Laplacian Kernels for Object Classification from a Single Example
Classification with only one labeled example per class is a challenging problem in machine learning and pattern recognition. While there have been some attempts to address this pr...
Hong Chang, Dit-Yan Yeung
128
Voted
SDM
2009
SIAM
152views Data Mining» more  SDM 2009»
16 years 15 days ago
Multiple Kernel Clustering.
Maximum margin clustering (MMC) has recently attracted considerable interests in both the data mining and machine learning communities. It first projects data samples to a kernel...
Bin Zhao, James T. Kwok, Changshui Zhang