1222 search results - page 133 / 245 » Machine Learning of Temporal Relations |
ECML
1993
Springer
15 years 2 months ago
1993
Springer
In machine learning theory, problem classes are distinguished because of di erences in complexity. In 6 , a stochastic model of learning from examples was introduced. This PAClear...
ICML
2010
IEEE
14 years 11 months ago
2010
IEEE
Many learning applications are characterized by high dimensions. Usually not all of these dimensions are relevant and some are redundant. There are two main approaches to reduce d...
ICML
2005
IEEE
15 years 11 months ago
2005
IEEE
Many real-world domains exhibit rich relational structure and stochasticity and motivate the development of models that combine predicate logic with probabilities. These models de...
ICMCS
2006
IEEE
15 years 4 months ago
2006
IEEE
Wearable physiological sensors can provide a faithful record of a patient’s physiological states without constant attention of caregivers. A computer program that can infer huma...
GECCO
2008
Springer
14 years 11 months ago
2008
Springer
We are interested in engineering smart machines that enable backtracking of emergent behaviors. Our SSNNS simulator consists of hand-picked tools to explore spiking neural network...