Skip to content

Basic Modes Guide

Jump to bottom Edit New page
boost-starai edited this page Dec 26, 2016 · 14 revisions

Part 5 in a Series on BoostSRL

Previous Page - Wiki - Next Page

The modes of our system follow the Aleph modes definitions. Please refer to http://www.cs.ox.ac.uk/activities/machinelearning/Aleph/aleph for Aleph definitions.

The key difference is that for our case, we use the mode definitions of the form:

mode: predicateName(ModeTypeArg1,...).

For example consider the famous 'trains' testbed of Michalski:

mode: eastbound(+train). mode: short( +car). mode: closed( +car). mode: long( +car). ... mode: has_car(+train, -car).

BoostSRL Wiki | Group Website | Downloads | Datasets

BoostSRL Wiki

Home

  1. BoostSRL Wiki

BoostSRL Basics

  1. Getting Started
  2. File Structure
  3. Basic Usage Parameters
  4. Advanced Usage Parameters
  5. Basic Modes Guide
  6. Advanced Modes Guide

Deep dive into BoostSRL

  1. Default (RDN-Boost)
  2. MLN-Boost
  3. Regression
  4. Cost-sensitive SRL
  5. Learning with Advice
  6. Approximate Counting
  7. One-class Classification (coming soon)
  8. Discretization of Continuous Valued Attributes
  9. Lifted Relational Random Walks
  10. Grounded Relational Random Walks

Datasets

  1. IMDB
  2. Cora
  3. UW-CSE
  4. CiteSeer
  5. WebKB
  6. Toy Cancer
  7. Boston Housing

Applications of BoostSRL

  1. Natural Language Processing
Clone this wiki locally