45 search results - page 5 / 9 » Adaptive Ensemble Models of Extreme Learning Machines for Ti... |
ICML
2006
IEEE
14 years 7 months ago
2006
IEEE
A family of probabilistic time series models is developed to analyze the time evolution of topics in large document collections. The approach is to use state space models on the n...
ICML
2008
IEEE
14 years 7 months ago
2008
IEEE
Modeling long-term dependencies in time series has proved very difficult to achieve with traditional machine learning methods. This problem occurs when considering music data. In ...
ESANN
2006
13 years 8 months ago
2006
Abstract. We introduce a new class of recurrent, truly sequential SVM-like devices with internal adaptive states, trained by a novel method called EVOlution of systems with KErnel-...
IJPP
2011
12 years 10 months ago
2011
Tuning compiler optimizations for rapidly evolving hardware makes porting and extending an optimizing compiler for each new platform extremely challenging. Iterative optimization i...
BMCBI
2010
13 years 6 months ago
2010
Background: In the last decade, biochemical studies have revealed that epigenetic modifications including histone modifications, histone variants and DNA methylation form a comple...