SVMcfg: Learns a weighted context free grammar from examples. Training examples (e.g. for natural language parsing) specify the sentence along with the correct parse tree. The goal is to predict the parse tree of new sentences.
标签： examples e.g. weighted Training
上传时间： 2014-07-26
上传用户：zsjzc
This the implementation of structural SVM for Training complex alignment models for protein sequence alignment, especially for homology modeling. The structural SVM algorithm can incorporate many relevant features like secondary structure, relative exposed surface area, profiles and their various interaction into the alignment model. It was developed under Linux and compiles under gcc, built upon the svm^light software by Thorsten Joachims.
标签： implementation structural for alignment
上传时间： 2014-01-11
上传用户：chenbhdt
SVMhmm: Learns a hidden Markov model from examples. Training examples (e.g. for part-of-speech tagging) specify the sequence of words along with the correct assignment of tags (i.e. states). The goal is to predict the tag sequences for new sentences.
标签： examples e.g. part-of-speech Training
上传时间： 2015-12-05
上传用户：gyq
wincom Training data
上传时间： 2013-12-10
上传用户：xauthu
RBF神经网络的一种 Exact -------> 有几个Training数据,就有几个接点, 适合少量数据.
上传时间： 2013-12-10
上传用户：TRIFCT
SpikeLM: A Second-Order Supervised Learning Algorithm for Training Spiking Neural Networks Introduction Preliminaries SpikeLM algorithm Experimental validation Conclusions
标签： Second-Order Supervised Algorithm Learning
上传时间： 2014-01-13
上传用户：zhuimenghuadie
PLC Training software
上传时间： 2013-11-26
上传用户：lacsx
Training 相册管理系统 功能页面
上传时间： 2013-12-12
上传用户：baitouyu
Training 相册管理系统 功能页面
上传时间： 2014-01-25
上传用户：ruan2570406
Training 相册管理系统 功能页面
上传时间： 2013-12-14
上传用户：tedo811
