Showing Items 411420 of 628 on page 42 of 63: First Previous 37 38 39 40 41 42 43 44 45 46 47 Next Last
About: PyStruct is a framework for learning structured prediction in Python. It has a modular interface, similar to the wellknown SVMstruct. Apart from learning algorithms it also contains model formulations for popular CRFs and interfaces to many inference algorithm implementation. Changes:Initial Announcement on mloss.org.

About: Epistatic miniarray profiles (EMAPs) are a highthroughput approach capable of quantifying aggravating or alleviating genetic interactions between gene pairs. The datasets resulting from EMAP experiments typically take the form of a symmetric pairwise matrix of interaction scores. These datasets have a significant number of missing values  up to 35%  that can reduce the effectiveness of some data analysis techniques and prevent the use of others. This project contains nearest neighbor based tools for the imputation and prediction of these missing values. The code is implemented in Python and uses a nearest neighbor based approach. Two variants are used  a simple weighted nearest neighbors, and a local least squares based regression. Changes:Initial Announcement on mloss.org.

About: We study the problem of robust feature extraction based on L21 regularized correntropy in both theoretical and algorithmic manner. In theoretical part, we point out that an L21norm minimization can be justified from the viewpoint of halfquadratic (HQ) optimization, which facilitates convergence study and algorithmic development. In particular, a general formulation is accordingly proposed to unify L1norm and L21norm minimization within a common framework. In algorithmic part, we propose an L21 regularized correntropy algorithm to extract informative features meanwhile to remove outliers from training data. A new alternate minimization algorithm is also developed to optimize the nonconvex correntropy objective. In terms of face recognition, we apply the proposed method to obtain an appearancebased model, called SparseFisherfaces. Extensive experiments show that our method can select robust and sparse features, and outperforms several stateoftheart subspace methods on largescale and open face recognition datasets. Changes:Initial Announcement on mloss.org. 
About: The pboost toolbox is a set of command line programs and a Matlab wrapper for mining frequent subsequences and sequence classification. For our purposes, a sequence is defined an ordered sequence of [...] Changes:Initial Announcement on mloss.org.

About: Generalized Ridge Regression (with special advantage for p >> n cases) Changes:Fetched by rcranrobot on 20161201 00:00:03.972960

About: You should never compute, maintain, or update the inverse of a symmetric positive definite matrix if you do not have to. Computing the inverse or manipulating it is inherently instable. You can [...] Changes:Initial Announcement on mloss.org.

About: Regularization paths for regression models with grouped covariates Changes:Fetched by rcranrobot on 20130401 00:00:05.489694

About: BudgetedSVM is an opensource C++ toolbox for scalable nonlinear classification. The toolbox can be seen as a missing link between LibLinear and LibSVM, combining the efficiency of linear with the accuracy of kernel SVM. We provide an Application Programming Interface for efficient training and testing of nonlinear classifiers, supported by data structures designed for handling data which cannot fit in memory. We also provide commandline and Matlab interfaces, providing users with an efficient, easytouse tool for largescale nonlinear classification. Changes:Changed license from LGPL v3 to Modified BSD.

About: Feature Selection SVM using penalty functions Changes:Fetched by rcranrobot on 20130401 00:00:07.509844

About: Hubnessaware Machine Learning for Highdimensional Data Changes:
