| Projects on Google Code | Results 1 - 10 of 17 |
plda is a parallel C++ implementation of Latent Dirichlet Allocation (LDA) (1). We are expecting to present a highly optimized parallel implemention of the Gibbs sampling algorithm for the training/inference of LDA (2). The carefully designed architecture is expected to support extensions of this ...
parallellatentDirichletallocaiton,
MPI,
Machine-learning,
Large-scale,
LDA,
Parallel,
Distributed,
Gibbs-Sampling,
Google
= FrontPage =
Wikipedia said:
[http://en.wikipedia.org/wiki/Sentence_boundary_disambiguation Sentence boundary disambiguation] (SBD) is the problem in natural language processing of deciding where the beginning and ends of sentences are.
Detecting sentence boundary is one of the most import...
sentence-boundary-detection,
sentence-boundary-disambiguation,
natual-language-processing,
machine-learning
It is the code of the following paper:
[http://books.nips.cc/papers/files/nips20/NIPS2007_0435.pdf]. This is an all-kernel-support version of SVM, which can parallel run on multiple machines.
We migrate it from Google's large scale computing infrastructure to MPI, then every one can use and run ...
Machine-learning,
Parallel,
Support-vector-machine,
SVM,
Google,
Large-scale,
Classifier,
Kernel,
Regularization
= Overview =
The project contains implementation of prediction algorithms that when combined together acheive a 0.8988 RMSE score on the probe set.
Please notice that In order to run the classes you'll need a 64bit OS with at least 4GB RAM (we used windows XP 64bit) and a 64bit JDK/JRE 1.6 or...
This is a single-file library of basic perceptron and voted perceptron implementations. The library makes heavy use of numpy.
The Yooreeka project is created based on the code of the book "Algorithms of the Intelligent Web" (Manning 2009 -- http://www.manning.com/marmanis). Although the term "Web" prevailed in the title, in essence, the algorithms are valuable in any software application.
Our goal is to maintain that so...
[http://forums.gentoo.org/images/avatars/287471397472409a198cb2.jpg]
==Jake Ellowitz's Repository==
Some of my personal and affiliated work available online.
MaLeCoLi (MAchine LEarning in COmmon LIsp) is a framework for Machine Learning in Common Lisp.
== What is Evolve? ==
Over the last decade, the majority of the designs, analyses and evaluations of early detection (or biosurveillance) systems have been geared towards specific data sources and detection algorithms. Much less effort has been focused on how these systems will "interact" with h...
rss,
feed,
collaboration,
machine-learning,
geo,
biosurveillance,
public-health,
situation-awareness,
informatics,
global-health,
social-networking
==Summary==
Maui automatically identifies main topics in text documents. Depending on the task, topics are tags, keywords, keyphrases, vocabulary terms, descriptors, index terms or titles of Wikipedia articles.
Maui performs the following *tasks*:
* keyphrase extraction,
* automatic ...