... Efficient and accurate lp-norm multiple kernel learning. In: Bengio, Y., Schuurmans, D., Lafferty, J., Williams ... Non-sparse regularization and efficient training with multiple kernels. Technical Report UCB/EECS-2010-21, EECS ...
... Non - sparse regularization and efficient training with multiple kernels . Machine Learning , 2010 . 187. W. Ma , S. Xia , J. Hodgins , X. Yang , C. Li , and Z. Wang . Modeling style and variation in human motion . Proceeding of the 9th ...
Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine learning, providing a single multidisciplinary source for the latest research and advances in ...
... 2. Alpert , S. , Kisilev , P .: Unsupervised detection of abnormalities in medical images ... Multiple kernel learning algorithms . J. Mach . Learn . Res . 12 ( 8 ) ... Non - sparse regularization and efficient training with multiple kernels ...
This volume offers researchers and engineers practical solutions for learning from large scale datasets, with detailed descriptions of algorithms and experiments carried out on realistically large datasets.
... Sparse Version the average output for each class equals the label ; in other ... non - zero ; as possible , following [ 366 ] . 15.3 Efficient Training ... Kernel Fisher Discriminant Efficient Training of Kernel Fisher Discriminants.
Aiming at solving large-scale learning problems, this book tackles the key research problems ranging from feature selection to learning with mixed unlabeled data and learning data similarity representation.
Presents optimization tools and techniques dedicated to such sparsity-inducing penalties from a general perspective.
... training examples . III . CONCLUSIONS We have reviewed different aspects of the multiple kernel learning including , formulations , optimization schemes , regularizers , selection of kernels ... Regularization , Optimization , and Beyond .
... non - linear dimensionality reduction through the use of kernels [ 37 ] . In ... Training of Soft Clustering Trees Our unconstrained formulation in Sect ... regularization term that encour- ages branching nodes to make equal use ...