はてなブックマーク

Pre-release version 0.7 (03 Apr 2008); see what has been updated here) Older versions: 0.6 0.5 0.4 0.3 0.2 0.1 HBC is a toolkit for implementing hierarchical Bayesian models. HBC was created because I felt like I spend too much time writing boilerplate code for inference problems in Bayesian models. There are several goals of HBC: Allow a natural implementation of hierarchal models. Enable quick a

Searn (searn.hal3.name) is a generic algorithm for solving structured prediction problems. This page contains papers, software and notes about using Searn for solving a variety of problems. Feel free to contact with questions or comments. Practical Structured Learning Techniques for Natural Language Processing. Hal Daumé III. PhD Thesis, 2006 (USC). This thesis describes an algorithm for solving m

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