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Logo Divvy 1.1.1

by jlewis - November 14, 2012, 20:21:29 CET [ Project Homepage BibTeX Download ] 1939 views, 988 downloads, 1 subscription

About: Divvy is a Mac OS X application for performing dimensionality reduction, clustering, and visualization.

Changes:

Initial Announcement on mloss.org.


Logo markov thebeast 0.0.2

by sebastian - June 14, 2008, 17:01:31 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 4710 views, 982 downloads, 0 comments, 1 subscription

About: markov thebeast is a Markov Logic interpreter. We also see it as structured prediction framework in which the user can define a loglinear distribution over a complex output space.

Changes:

Initial Announcement on mloss.org.


Logo OLaRankExact 1.0

by antojne - June 24, 2009, 17:03:48 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 4056 views, 978 downloads, 1 subscription

About: OLaRank is an online solver of the dual formulation of support vector machines for sequence labeling using viterbi decoding.

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 ] 3915 views, 977 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.


Logo arts 0.2

by sonne - May 25, 2009, 09:56:31 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 4652 views, 974 downloads, 1 subscription

About: ARTS is an accurate predictor for Transcription Start Sites (TSS).

Changes:

Initial Announcement on mloss.org.


Logo rdetools 0.1

by mikio - December 4, 2008, 22:56:37 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 4117 views, 971 downloads, 1 subscription

About: This software contains several matlab scripts for computing the RDE (relevant dimensionality estimate). The RDE measures the number of leading PCA components in feature space which contain the [...]

Changes:

Initial Announcement on mloss.org.


Logo Bilingual Text Classification 0.1

by jorcisai - April 9, 2010, 15:13:08 CET [ BibTeX BibTeX for corresponding Paper Download ] 2667 views, 965 downloads, 1 subscription

About: This software package implements a series of statistical mixture models for bilingual text classificacion trained by the EM algorihtm.

Changes:

Initial Announcement on mloss.org.


Logo COIN OR 1.2

by sonne - July 13, 2009, 10:51:10 CET [ Project Homepage BibTeX Download ] 3164 views, 958 downloads, 1 subscription

About: The Computational Infrastructure for Operations Research (COIN-OR) project is an initiative to spur the development of open-source software for the operations research community.

Changes:

Initial Announcement on mloss.org.


Logo OLaRankGreedy 1.0

by antojne - June 24, 2009, 17:07:57 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 4368 views, 954 downloads, 1 subscription

About: OLaRankGreedy is an online solver of the dual formulation of support vector machines for sequence labeling using greedy inference.

Changes:

Initial Announcement on mloss.org.


Logo HDDM 0.5

by Wiecki - April 24, 2013, 02:53:07 CET [ Project Homepage BibTeX Download ] 3774 views, 947 downloads, 1 subscription

About: HDDM is a python toolbox for hierarchical Bayesian parameter estimation of the Drift Diffusion Model (via PyMC). Drift Diffusion Models are used widely in psychology and cognitive neuroscience to study decision making.

Changes:
  • New and improved HDDM model with the following changes:
    • Priors: by default model will use informative priors (see http://ski.clps.brown.edu/hddm_docs/methods.html#hierarchical-drift-diffusion-models-used-in-hddm) If you want uninformative priors, set informative=False.
    • Sampling: This model uses slice sampling which leads to faster convergence while being slower to generate an individual sample. In our experiments, burnin of 20 is often good enough.
    • Inter-trial variablity parameters are only estimated at the group level, not for individual subjects.
    • The old model has been renamed to HDDMTransformed.
    • HDDMRegression and HDDMStimCoding are also using this model.
  • HDDMRegression takes patsy model specification strings. See http://ski.clps.brown.edu/hddm_docs/howto.html#estimate-a-regression-model and http://ski.clps.brown.edu/hddm_docs/tutorial_regression_stimcoding.html#chap-tutorial-hddm-regression
  • Improved online documentation at http://ski.clps.brown.edu/hddm_docs
  • A new HDDM demo at http://ski.clps.brown.edu/hddm_docs/demo.html
  • Ratcliff's quantile optimization method for single subjects and groups using the .optimize() method
  • Maximum likelihood optimization.
  • Many bugfixes and better test coverage.
  • hddm_fit.py command line utility is depracated.

Showing Items 291-300 of 561 on page 30 of 57: First Previous 25 26 27 28 29 30 31 32 33 34 35 Next Last