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https://msbnx.azurewebsites.net/?from=https://research.microsoft.com/en-us/um/redmond/groups/adapt/msbnx/&type=exact
Click Here to Download MSBNx You may use MSBNx non-commercially. See the End-User Agreement for details. For background information, see the MSBNx technical report. Check the FAQs for help with download and running problems. If you'd like to receive announcements about MSBNx, send an empty email to �join-MSBNx-Announce@list.research.microsoft.com What's New 6/16/2010 - The MSBNx sample code is now
Google Books Ngram Viewer
<iframe name="ngram_chart" src="" width=900 height=500 marginwidth=0 marginheight=0 hspace=0 vspace=0 frameborder=0 scrolling=no></iframe> Part-of-speech tags cook_VERB, _DET_ President _PROPN_ Wildcards King of *, best *_NOUN Inflections shook_INF drive_VERB_INF Arithmetic compositions (color /(color + colour)) Corpus selection I want:eng_2019, I want:eng_2009
自然言語処理ツール
自然言語処理の研究で役立つツールを集めてみました。 音声認識CMU Sphinx: 広く利用されている音声認識プログラム。 Juicer: 重み付き有限状態トランスデューサを利用した音声認識デコーダ。 Julius: 音声認識システムの開発・研究のためのオープンソースの高性能な汎用大語彙連続音声認識エンジン。 言語モデルIRSTLM: 言語モデルの学習・格納ツール。 kenlm: メモリ効率とスピードを重視した言語モデル保持ツール。 Kylm: 重み付き有限状態トランスデューサーの出力や未知語の文字ベースモデル化などの機能が揃っている言語モデルツールキット。Javaで実装。 RandLM: 乱択データ構造であるBloom Filterを用いることで、膨大な言語モデルを少ないメモリで保持するツールキット。 SRILM: 効率的なn-gram言語モデルツールキット。様々な平滑化手法（Knese
SVM-perf: Support Vector Machine for Multivariate Performance Measures
SVMperf Support Vector Machine for Multivariate Performance Measures Author: Thorsten Joachims <thorsten@joachims.org> Cornell University Department of Computer Science Version: 3.00 Date: 07.09.2009 Overview SVMperf is an implementation of the Support Vector Machine (SVM) formulation for optimizing multivariate performance measures described in [Joachims, 2005]. Furthermore, SVMperf implements th
SVM-Multiclass: Multi-Class Support Vector Machine
SVMmulticlass Multi-Class Support Vector Machine Author: Thorsten Joachims <thorsten@joachims.org> Cornell University Department of Computer Science Version: 2.20 Date: 14.08.2008 Overview SVMmulticlass uses the multi-class formulation described in [1], but optimizes it with an algorithm that is very fast in the linear case. For a training set (x1,y1) ... (xn,yn) with labels yi in [1..k], it finds
Review: Vimeo API Update Provides Robust Access to Service's Ecosystem | ProgrammableWeb
Discover the next evolution of MuleSoft, announced at Connect:AI. Catch up on the highlights. Since joining MuleSoft in 2013, ProgrammableWeb has sought to bring awareness to the impact APIs can have on modern businesses. Nearly a decade later it has undoubtedly played a role in helping the wider market understand the power of APIs. As part of the Salesforce family, MuleSoft is expanding our focus
Edge Components 概念、計画とインストール / WebSphere Application Server
Data strategy with an architectural approach — support data-driven decisions for your business To thrive in this age of the unexpected, companies must leverage data to create customer loyalty, automate business processes and innovate future ideas. But the demand for big data has outpaced our ability to solve our existing data analysis problems and the copy and paste method has only made things wor
BigQuery documentation | Google Cloud
BigQuery is Google Cloud's fully managed, petabyte-scale, and cost-effective analytics data warehouse that lets you run analytics over vast amounts of data in near real time. With BigQuery, there's no infrastructure to set up or manage, letting you focus on finding meaningful insights using GoogleSQL and taking advantage of flexible pricing models across on-demand and flat-rate options. Go to the
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GitHub - josephmisiti/awesome-machine-learning: A curated list of awesome Machine Learning frameworks, libraries and software.
Weka 3 - Data Mining with Open Source Machine Learning Software in Java
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