edu.ucla.sspace maven依赖
edu.ucla.sspace/sspacewordsi 共有1个版本，总共被引用了2次
被引用次数最多的版本是2.0 ，其被引用次数为2 。
The SSpace Package is a collection of algorithms for building
Semantic Spaces as well as a highlyscalable library for designing new
distributional semantics algorithms. Distributional algorithms process text
corpora and represent the semantic for words as high dimensional feature
vectors. This package also includes matrices, vectors, and numerous
clustering algorithms. These approaches are known by many names, such as
word spaces, semantic spaces, or distributed semantics and rest upon the
Distributional Hypothesis: words that appear in similar contexts have
similar meanings.
 sspacewordsi » 2.0 最后更新于20120523 被中央仓库Jar包引用2次
edu.ucla.sspace/graphical_2.9.2 共有1个版本，总共被引用了0次
被引用次数最多的版本是0.0.1 ，其被引用次数为0 。
graphical
 graphical_2.9.2 » 0.0.1 最后更新于20120727 被中央仓库Jar包引用0次
edu.ucla.sspace/scalda 共有1个版本，总共被引用了0次
被引用次数最多的版本是0.0.1 ，其被引用次数为0 。
Scalda is a handful of simple implementations for graphical
models such as Latent Dirichlet Allocation or the Dirichlet Process
Mixutre Model
edu.ucla.sspace/sspace 共有6个版本，总共被引用了0次
被引用次数最多的版本是2.0.4 ，其被引用次数为0 。
The SSpace Package is a Natural Language Processing library for
distributional semantics representations. Distributional semantics
representations model the meaning of words, phrases, and sentences as high
dimensional vectors or probability distributions. The library includes common
algorithms such as Latent Semantic Analysis, Random Indexing, and Latent
Dirichlet Allocation. The SSpace package also includes software libraries
for matrices, vectors, graphs, and numerous clustering
algorithms.
 sspace » 2.0.4 最后更新于20130810 被中央仓库Jar包引用0次

sspace
»
2.0.3
最后更新于20120613
被中央仓库Jar包引用0次
描述：The SSpace Package is a collection of algorithms for building Semantic Spaces as well as a highlyscalable library for designing new distributional semantics algorithms. Distributional algorithms process text corpora and represent the semantic for words as high dimensional feature vectors. This package also includes matrices, vectors, graphs, and numerous clustering algorithms. These approaches are known by many names, such as word spaces, semantic spaces, or distributed semantics and rest upon the Distributional Hypothesis: words that appear in similar contexts have similar meanings.

sspace
»
2.0.2
最后更新于20120613
被中央仓库Jar包引用0次
描述：The SSpace Package is a collection of algorithms for building Semantic Spaces as well as a highlyscalable library for designing new distributional semantics algorithms. Distributional algorithms process text corpora and represent the semantic for words as high dimensional feature vectors. This package also includes matrices, vectors, graphs, and numerous clustering algorithms. These approaches are known by many names, such as word spaces, semantic spaces, or distributed semantics and rest upon the Distributional Hypothesis: words that appear in similar contexts have similar meanings.

sspace
»
2.0.1
最后更新于20120524
被中央仓库Jar包引用0次
描述：The SSpace Package is a collection of algorithms for building Semantic Spaces as well as a highlyscalable library for designing new distributional semantics algorithms. Distributional algorithms process text corpora and represent the semantic for words as high dimensional feature vectors. This package also includes matrices, vectors, graphs, and numerous clustering algorithms. These approaches are known by many names, such as word spaces, semantic spaces, or distributed semantics and rest upon the Distributional Hypothesis: words that appear in similar contexts have similar meanings.

sspace
»
2.0
最后更新于20120308
被中央仓库Jar包引用0次
描述：The SSpace Package is a collection of algorithms for building Semantic Spaces as well as a highlyscalable library for designing new distributional semantics algorithms. Distributional algorithms process text corpora and represent the semantic for words as high dimensional feature vectors. This package also includes matrices, vectors, and numerous clustering algorithms. These approaches are known by many names, such as word spaces, semantic spaces, or distributed semantics and rest upon the Distributional Hypothesis: words that appear in similar contexts have similar meanings.

sspace
»
1.6
最后更新于20110406
被中央仓库Jar包引用0次
描述：The SSpace Package is a collection of algorithms for building Semantic Spaces as well as a highlyscalable library for designing new distributional semantics algorithms. Distributional algorithms process text corpora and represent the semantic for words as high dimensional feature vectors. This package also includes matrices, vectors, and numerous clustering algorithms. These approaches are known by many names, such as word spaces, semantic spaces, or distributed semantics and rest upon the Distributional Hypothesis: words that appear in similar contexts have similar meanings.