mloss | Projects that are tagged with junction tree.

dlib ml 18.1

by davis685 - March 25, 2013, 23:48:23 CET [ ] 53418 views, 9344 downloads, 1 subscription

About: This project is a C++ toolkit containing machine learning algorithms and tools that facilitate creating complex software in C++ to solve real world problems.

Changes:

In addition to some bug fixes, this release also brings the following notable improvements to the library:

The SURF feature extraction tool has higher matching accuracy than in previous dlib releases.
The cutting plane optimizer is now faster
A new tool for computing the singular value decomposition of very large matrices
A new tool for performing canonical correlation analysis on large datasets
A new tool for easily writing parallel for loops

Authors: Davis King
License: Boost Software License
Programming Language: C++

Operating System: Linux, Macosx, Windows, Unix, Solaris
Data Formats: Svmlight, Binary
JMLR-MLOSS Publication: JMLR Page
Tags: Svm, Classification, Clustering, Regression, Kernel Methods, Matrix Library, Kkmeans, Optimization, Algorithms, Exact Bayesian Methods, Approximate Inference, Bayesian Networks, Junction Tree

libDAI 0.3.1

by jorism - September 17, 2012, 14:17:03 CET [ ] 25657 views, 4765 downloads, 2 subscriptions

Rating

(based on 1 vote)

About: libDAI provides free & open source implementations of various (approximate) inference methods for graphical models with discrete variables, including Bayesian networks and Markov Random Fields.

Changes:

Release 0.3.1 fixes various bugs. The issues on 64-bit Windows platforms have been fixed and libDAI now offers full 64-bit support on all supported platforms (Linux, Mac OSX, Windows).