1323 search results - page 173 / 265 » Feature Extraction for Machine Learning: Logic-Probabilistic... |
144
Voted
ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
Many unsupervised algorithms for nonlinear dimensionality reduction, such as locally linear embedding (LLE) and Laplacian eigenmaps, are derived from the spectral decompositions o...
116
Voted
ICMLC
2005
Springer
15 years 6 months ago
2005
Springer
This paper presents a novel approach for adaptive online multi-stroke sketch recognition based on Hidden Markov Model (HMM). The method views the drawing sketch as the result of a ...
90
Voted
ALT
2010
Springer
15 years 2 months ago
2010
Springer
Many algorithms for grammatical inference can be viewed as instances of a more general algorithm which maintains a set of primitive elements, which distributionally define sets of ...
80
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
We introduce a robust probabilistic approach to modeling shape contours based on a lowdimensional, nonlinear latent variable model. In contrast to existing techniques that use obj...
84
Voted
ICML
2010
IEEE
2010
IEEE
Unsupervised Risk Stratification in Clinical Datasets: Identifying Patients at Risk of Rare Outcomes
15 years 1 months ago
Most existing algorithms for clinical risk stratification rely on labeled training data. Collecting this data is challenging for clinical conditions where only a small percentage ...