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Logo OXlearn 1.0

by gwestermann - January 11, 2010, 11:48:26 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 4134 views, 860 downloads, 1 subscription

About: OXlearn is a free neural network simulation software that enables you to build, train, test and analyse connectionist neural network models. Because OXlearn is implemented as a Matlab toolbox you can run it on all operation systems (Windows, Linux, MAC, etc.), and there is a compiled version for XP.

Changes:

Initial Announcement on mloss.org.


Logo ROC algorithms 1.0

by tfawcett - January 9, 2010, 19:52:00 CET [ BibTeX BibTeX for corresponding Paper Download ] 3980 views, 750 downloads, 1 subscription

About: A set of Perl programs for generating and manipulating ROC curves.

Changes:

Initial Announcement on mloss.org.


Logo ROCCH 2.2

by tfawcett - January 9, 2010, 07:47:47 CET [ BibTeX BibTeX for corresponding Paper Download ] 2567 views, 701 downloads, 0 comments, 1 subscription

About: Given many points in ROC (Receiver Operator Characteristics) space, computes the convex hull.

Changes:

Initial Announcement on mloss.org.


Logo sofia ml 0.1

by dsculley - December 29, 2009, 23:30:58 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 5046 views, 908 downloads, 0 comments, 1 subscription

About: A fast implementation of several stochastic gradient descent learners for classification, ranking, and ROC area optimization, suitable for large, sparse data sets. Includes Pegasos SVM, SGD-SVM, Passive-Aggressive Perceptron, Perceptron with Margins, Logistic Regression, and ROMMA. Commandline utility and API libraries are provided.

Changes:

Initial Announcement on mloss.org.


Logo svmPRAT 1.0

by rangwala - December 28, 2009, 00:27:03 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 3810 views, 945 downloads, 1 subscription

About: BACKGROUND:Over the last decade several prediction methods have been developed for determining the structural and functional properties of individual protein residues using sequence and sequence-derived information. Most of these methods are based on support vector machines as they provide accurate and generalizable prediction models. RESULTS:We present a general purpose protein residue annotation toolkit (svmPRAT) to allow biologists to formulate residue-wise prediction problems. svmPRAT formulates the annotation problem as a classification or regression problem using support vector machines. One of the key features of svmPRAT is its ease of use in incorporating any user-provided information in the form of feature matrices. For every residue svmPRAT captures local information around the reside to create fixed length feature vectors. svmPRAT implements accurate and fast kernel functions, and also introduces a flexible window-based encoding scheme that accurately captures signals and pattern for training eective predictive models. CONCLUSIONS:In this work we evaluate svmPRAT on several classification and regression problems including disorder prediction, residue-wise contact order estimation, DNA-binding site prediction, and local structure alphabet prediction. svmPRAT has also been used for the development of state-of-the-art transmembrane helix prediction method called TOPTMH, and secondary structure prediction method called YASSPP. This toolkit developed provides practitioners an efficient and easy-to-use tool for a wide variety of annotation problems. Availability: http://www.cs.gmu.edu/~mlbio/svmprat/

Changes:

Initial Announcement on mloss.org.


About: Matlab code for semi-supervised regression and dimensionality reduction using Hessian energy.

Changes:

Initial Announcement on mloss.org.


Logo Java Optimized Processor for Embedded Machine Learning 1

by rasped - December 15, 2009, 12:51:26 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 4167 views, 830 downloads, 1 subscription

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About: JOP is a Java virtual machine implemented in hardware. It is a hard real-time open source multicore processor capable of worst case execution time analysis of Java code.

Changes:

Initial Announcement on mloss.org.


Logo SCD 2.1

by ambujtewari - December 3, 2009, 22:21:45 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 6535 views, 1244 downloads, 1 subscription

About: A (randomized) coordinate descent procedure to minimize L1 regularized loss for classification and regression purposes.

Changes:

Fixed some I/O bugs. Lines that ended with whitespace were not read correctly in the previous version.


About: A Java library to create, process and manage mixtures of exponential families.

Changes:

Initial Announcement on mloss.org.


Logo JMLR PyBrain 0.3

by bayerj - March 3, 2010, 15:00:08 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 15558 views, 1776 downloads, 2 subscriptions

About: PyBrain is a versatile machine learning library for Python. Its goal is to provide flexible, easy-to-use yet still powerful algorithms for machine learning tasks, including a variety of predefined [...]

Changes:
  • more documentation, including new tutorials
  • new and updated example scripts
  • major restructuring of the reinforcement learning part
  • homogeneous interface for optimization algorithms
  • fast networks (arac) are now in an independent package
  • new algorithms, network structures, tools...

Showing Items 401-410 of 550 on page 41 of 55: First Previous 36 37 38 39 40 41 42 43 44 45 46 Next Last