Data and code for the experiments in: "Measuring Thematic Fit with Distributional Feature Overlap". Enrico Santus, Emmanuele Chersoni, Alessandro Lenci and Philippe Blache. EMNLP 2017
-
Updated
Jul 24, 2017 - Python
Data and code for the experiments in: "Measuring Thematic Fit with Distributional Feature Overlap". Enrico Santus, Emmanuele Chersoni, Alessandro Lenci and Philippe Blache. EMNLP 2017
Dropwizard JAVA8 based external load balancer supporting the following modes: ROUND_ROBIN, RANDOM, STICKY, IP_HASH, KEY_HASH, TIMESTAMP_HASH, WEIGHTED
Weighted average cost of capital (WACC) calculator of listed and unlisted companies based on an input-based API calculation engine.
The code for Weighted Fisher Discriminant Analysis (WFDA) and Kernel WFDA
Population weighted spatial stratified sampling.
Compute an exponentially weighted standard deviation incrementally.
Locally-weighted polynomial regression via the LOWESS algorithm.
Compute an exponentially weighted mean incrementally.
Compute a weighted arithmetic mean incrementally.
Weighted Expectation-Maximization for sparse GMM Training that was a sub-algorithm in my thesis.
Compute an exponentially weighted variance incrementally.
A list of weighted items for weighted selection and randomisation, available in both Python and C#
A new clustering technique is proposed that incorporates outliers during clustering. The proposed approach involves using a variable, (λ > 0), to define the cluster radius. Weighted an
A graph toolkit made with Java
Add a description, image, and links to the weighted topic page so that developers can more easily learn about it.
To associate your repository with the weighted topic, visit your repo's landing page and select "manage topics."