Maximum Entropy Modeling Toolkit
The Maximum Entropy Toolkit provides a set of tools and library for constructing maximum entropy (maxent) models in either Python or C++. It features conditional maximum entropy models, L-BFGS and GIS parameter estimation, Gaussian Prior smoothing, a C++ API, a Python extension module, a command line utility, and good documentation. (Source: http://freecode.com/)
Keywords for this software
References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Chen, Yanping; Zheng, Qinghua; Chen, Ping: Feature assembly method for extracting relations in Chinese (2015)
- Hou, Yuexian; Wang, Bo; Song, Dawei; Cao, Xiaochun; Li, Wenjie: Quadratic Tsallis entropy bias and generalized maximum entropy models (2014)
- Oh, J.; Choi, Key-Sun; Isahara, H.: A comparison of different machine transliteration models (2006)