GitHub - tomz/liblinear-ruby-swig: This is the Ruby interface to LIBLINEAR (much more efficient than LIBSVM for text classification and other large linear classifications)You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
Classias - A collection of machine-learning algorithms for classification
A collection of machine-learning algorithms for classification Classias is a collection of machine-learning algorithms for classification. Currently, it supports the following formalizations: L1/L2-regularized logistic regression (aka. Maximum Entropy) L1/L2-regularized L1-loss linear-kernel Support Vector Machine (SVM) Averaged perceptron
Machine Learning and Knowledge Discovery group - Research - Learning from Multi-Label Data
Learning from Multi-Label Data Introduction Traditional classification is concerned with learning from a set of instances that are associated with a single label from a set of disjoint labels L, |L| > 1. In multi-label learning, instances are associated with a subset of L. Learning from multi-label data has recently received increased attention by researchers working on machine learning and data m
Free AI Photo Editor: Automatic Photo Editing with AI
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sofia-ml - Project Hosting on Google Code
Google Code Archive - Long-term storage for Google Code Project Hosting.
Google Code Archive - Long-term storage for Google Code Project Hosting.
