文件名称:CRF

  • 所属分类:
  • 数值算法/人工智能
  • 资源属性:
  • [Java] [源码]
  • 上传时间:
  • 2012-11-26
  • 文件大小:
  • 2.01mb
  • 下载次数:
  • 0次
  • 提 供 者:
  • 张**
  • 相关连接:
  • 下载说明:
  • 别用迅雷下载,失败请重下,重下不扣分!

介绍说明--下载内容均来自于网络,请自行研究使用

条件随机域(conditional random field)的经典实现-an implementation of conditional random field
相关搜索: crf
conditional
random
field

(系统自动生成,下载前可以参看下载内容)

下载文件列表

CRF\.classpath

...\.project

...\.settings\org.eclipse.jdt.core.prefs

...\.settings

...\build\iitb\CRF\CandidateSegments.class

...\.....\....\...\CandSegDataSequence.class

...\.....\....\...\CollinsTrainer.class

...\.....\....\...\Constraint.class

...\.....\....\...\ConstraintDisallowedPairs.class

...\.....\....\...\CRF.class

...\.....\....\...\CrfParams.class

...\.....\....\...\DataIter.class

...\.....\....\...\DataSequence.class

...\.....\....\...\EdgeGenerator.class

...\.....\....\...\Evaluator.class

...\.....\....\...\Feature.class

...\.....\....\...\FeatureGenCache$FeatureImpl.class

...\.....\....\...\FeatureGenCache.class

...\.....\....\...\FeatureGenerator.class

...\.....\....\...\FeatureGeneratorNested.class

...\.....\....\...\HistoryManager$DataIterHistory.class

...\.....\....\...\HistoryManager$DataSequenceHist.class

...\.....\....\...\HistoryManager$FeatureGeneratorWithHistory.class

...\.....\....\...\HistoryManager$FeatureHist.class

...\.....\....\...\HistoryManager.class

...\.....\....\...\LogDenseDoubleMatrix1D.class

...\.....\....\...\LogDenseDoubleMatrix2D.class

...\.....\....\...\LogSparseDoubleMatrix1D.class

...\.....\....\...\LogSparseDoubleMatrix1DOld$DoubleDoubleFunctionWrapper.class

...\.....\....\...\LogSparseDoubleMatrix1DOld.class

...\.....\....\...\LogSparseDoubleMatrix2D.class

...\.....\....\...\NestedCollinsTrainer.class

...\.....\....\...\NestedCRF.class

...\.....\....\...\NestedTrainer.class

...\.....\....\...\NestedViterbi.class

...\.....\....\...\package.html

...\.....\....\...\RestrictConstraint.class

...\.....\....\...\RobustMath$LogExpCache.class

...\.....\....\...\RobustMath$LogMult.class

...\.....\....\...\RobustMath$LogSumExp.class

...\.....\....\...\RobustMath.class

...\.....\....\...\Segmentation.class

...\.....\....\...\SegmentCRF$ModelGraph.class

...\.....\....\...\SegmentCRF.class

...\.....\....\...\SegmentDataSequence.class

...\.....\....\...\SegmentTrainer.class

...\.....\....\...\SegmentViterbi$ContextForLabelConstraints.class

...\.....\....\...\SegmentViterbi$EntryForLabelConstraints.class

...\.....\....\...\SegmentViterbi$LabelConstraints$Intersects.class

...\.....\....\...\SegmentViterbi$LabelConstraints.class

...\.....\....\...\SegmentViterbi$SegmentationImpl$Segment.class

...\.....\....\...\SegmentViterbi$SegmentationImpl.class

...\.....\....\...\SegmentViterbi$SegmentIter.class

...\.....\....\...\SegmentViterbi$SolnWithLabelsOnPath.class

...\.....\....\...\SegmentViterbi.class

...\.....\....\...\Soln.class

...\.....\....\...\SparseTrainer$ExpFunc.class

...\.....\....\...\SparseTrainer$ExpFunc1D.class

...\.....\....\...\SparseTrainer$ExpFunc2D.class

...\.....\....\...\SparseTrainer.class

...\.....\....\...\SparseViterbi$Context.class

...\.....\....\...\SparseViterbi$ContextUpdate.class

...\.....\....\...\SparseViterbi$Iter.class

...\.....\....\...\SparseViterbi.class

...\.....\....\...\Trainer$MultFunc.class

...\.....\....\...\Trainer$MultSingle.class

...\.....\....\...\Trainer$SumFunc.class

...\.....\....\...\Trainer.class

...\.....\....\...\Util.class

...\.....\....\...\Viterbi$Entry.class

...\.....\....\...\Viterbi.class

...\.....\....\CRF

...\.....\....\EyeBlink\DamnedFeature.class

...\.....\....\........\DataDescEye.class

...\.....\....\........\DataRecordEye.class

...\.....\....\........\DataSetEye.class

...\.....\....\........\EyeBlink.class

...\.....\....\........\FeatureGenEye.class

...\.....\....\........\FileDataEye.class

...\.....\....\........\TestData.class

...\.....\....\........\TestDesc.class

...\.....\....\........\TestFileData.class

...\.....\....\........\TestRecord.class

...\.....\....\EyeBlink

...\.....\....\MaxentClassifier\DataDesc.class

...\.....\....\................\DataRecord.class

...\.....\....\................\DataSet.class

...\.....\....\................\FeatureGenRecord$FeatureColumn.class

...\.....\....\................\FeatureGenRecord.class

...\.....\....\................\FileData.class

...\.....\....\................\MaxentClassifier.class

...\.....\....\................\package.html

...\.....\....\MaxentClassifier

...\.....\....\.odel

相关说明

  • 本站资源为会员上传分享交流与学习,如有侵犯您的权益,请联系我们删除.
  • 本站是交换下载平台,提供交流渠道,下载内容来自于网络,除下载问题外,其它问题请自行百度更多...
  • 请直接用浏览器下载本站内容,不要使用迅雷之类的下载软件,用WinRAR最新版进行解压.
  • 如果您发现内容无法下载,请稍后再次尝试;或者到消费记录里找到下载记录反馈给我们.
  • 下载后发现下载的内容跟说明不相乎,请到消费记录里找到下载记录反馈给我们,经确认后退回积分.
  • 如下载前有疑问,可以通过点击"提供者"的名字,查看对方的联系方式,联系对方咨询.

相关评论

暂无评论内容.

发表评论

*主  题:
*内  容:
*验 证 码:

源码中国 www.ymcn.org