229 search results - page 5 / 46 » Ergodic-Type Characterizations of Algorithmic Randomness |
JMLR
2006
13 years 7 months ago
2006
This paper proposes a general probabilistic framework for shape-based modeling and classification of waveform data. A segmental hidden Markov model (HMM) is used to characterize w...
ALGOSENSORS
2007
Springer
14 years 1 months ago
2007
Springer
e for abstract modeling, algorithmic design and analysis to achieve provably efficient, scalable and fault-tolerant realizations of such huge, highly-dynamic, complex, non-conventi...
CORR
2012
Springer
12 years 2 months ago
2012
Springer
Approximating non-linear kernels using feature maps has gained a lot of interest in recent years due to applications in reducing training and testing times of SVM classifiers and...
WIRN
2005
Springer
14 years 17 days ago
2005
Springer
We present an algorithmic scheme for unsupervised cluster ensembles, based on randomized projections between metric spaces, by which a substantial dimensionality reduction is obtai...
ML
2006
ACM
13 years 7 months ago
2006
ACM
Abstract This paper proposes a new tree-based ensemble method for supervised classification and regression problems. It essentially consists of randomizing strongly both attribute ...