357 search results - page 46 / 72 » New Insights into Learning Algorithms and Datasets |
97
Voted
MCS
2009
Springer
15 years 4 months ago
2009
Springer
There are a variety of methods for inducing predictive systems from observed data. Many of these methods fall into the field of study of machine learning. Some of the most effec...
CLUSTER
2009
IEEE
15 years 4 months ago
2009
IEEE
—A family of oblivious routing schemes for Fat Trees and their slimmed versions is presented in this work. First, two popular oblivious routing algorithms, which we refer to as S...
77
Voted
NIPS
2007
14 years 11 months ago
2007
We present a theoretical study on the discriminative clustering framework, recently proposed for simultaneous subspace selection via linear discriminant analysis (LDA) and cluster...
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
GECCO
2007
Springer
15 years 3 months ago
2007
Springer
Standard detection algorithms for nonlinearity linkage fail when applied to typical problems in the analysis of financial time-series data. We explain how this failure arises whe...