801 search results - page 68 / 161 » Machine Learning with Data Dependent Hypothesis Classes |
ICML
2009
IEEE
14 years 9 months ago
2009
IEEE
In this paper, we introduce a generic framework for semi-supervised kernel learning. Given pairwise (dis-)similarity constraints, we learn a kernel matrix over the data that respe...
ICALT
2008
IEEE
14 years 3 months ago
2008
IEEE
Ad-hoc sensor networks provide a cheap and scalable technology for constructing pervasive learning assessment systems that are embedded in physical environments. This paper propos...
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
Learning temporal causal graph structures from multivariate time-series data reveals important dependency relationships between current observations and histories, and provides a ...
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
Kernel machines (e.g. SVM, KLDA) have shown state-ofthe-art performance in several visual classification tasks. The classification performance of kernel machines greatly depends o...
IJCAI
2007
13 years 10 months ago
2007
We present a general machine learning framework for modelling the phenomenon of missing information in data. We propose a masking process model to capture the stochastic nature of...