xring.info
第 2 页 | xring's
http://xring.info/page/2
今天在写 Play 应用时，遇到一个奇怪的问题 在. Ambiguous implicit values: both method wrapJava in object HandlerInvokerFactory of type = play.core.routing.HandlerInvokerFactory[play.mvc.Result] and method wrapJavaPromise in object HandlerInvokerFactory of type = play.core.routing.HandlerInvokerFactory[play.libs.F.Promise[play.mvc.Result] match expected type play.core.routing.HandlerInvokerFactory[T]. Error] TypeError: Cannot read. At /usr/lib/node modules/hexo/lib/theme/index.js: 113. At b (domain.js: 183. A toolkit for dep...
ropengov.github.io
NIPS/MLOSS workshop on Machine Learning Open Source Software — rOpenGov
http://ropengov.github.io/general/2013/12/10/MLOSS
December 10, 2013. NIPS/MLOSS workshop on Machine Learning Open Source Software. Project was today highlighted at the Neural Information Processing Systems (NIPS). Conference, one of the main forums for machine learning and scientific computation. We gave a presentation at the Machine Learning Open Source Software (MLOSS) workshop. A number of other interesting projects were present, including iPython. And many others. For a full list, see the MLOSS. Written by Leo Lahti. Incorporated theme by Inc.
fnl.es
fnl.es · A review of sparse sequence taggers
http://fnl.es/a-review-of-sparse-sequence-taggers.html
A review of sparse sequence taggers. Right now, use Wapiti. You want to go beyond first-order and/or linear models, need the fastest possible training cycles, or are a Scala programmer, in which case you would be best advised to choose Factorie. OK, so that's that for a stressed out generation; Read on if you want to know why I recommend those two tools. Controversy and therefore an ideal testing ground. Nearly any interesting natural language processing (NLP) task starts with word tagging. DNA bases (lo...
github.com
GitHub - factorie/factorie: FACTORIE is a toolkit for deployable probabilistic modeling, implemented as a software library in Scala. It provides its users with a succinct language for creating relational factor graphs, estimating parameters and performing
https://github.com/factorie/factorie
FACTORIE is a toolkit for deployable probabilistic modeling, implemented as a software library in Scala. It provides its users with a succinct language for creating relational factor graphs, estimating parameters and performing inference. Use Git or checkout with SVN using the web URL. Factorie 2.11-1.2. Factorie 2.11-1.1.1. Factorie 2.11-1.1. Factorie 2.10-1.1. Aug 24, 2016. Add noop-diffs to hcoref vars. Failed to load latest commit information. Changed factorie version capture format in bin/fac. This ...
iesl.cs.umass.edu
News - Information Extraction and Synthesis Laboratory
http://www.iesl.cs.umass.edu/news
Specific announcements, see here. CFP: ICML 2012 Workshop on Inferning: Interactions between Inference and Learning. Posted Apr 9, 2012, 4:32 PM. By Sameer Singh [ updated Apr 9, 2012, 4:35 PM. ICML 2012 Workshop on. Interactions between Inference and Learning. June 30th, 2012, Edinburgh, UK. Http:/ inferning.cs.umass.edu. The workshop is organized by IESL members Sameer Singh. Further, does the behavior of inference change as learning continues to improve the quality of the model?
en.wikipedia.org
Conditional random field - Wikipedia, the free encyclopedia
https://en.wikipedia.org/wiki/Conditional_random_field
From Wikipedia, the free encyclopedia. This article has multiple issues. Please help improve it. Or discuss these issues on the talk page. Learn how and when to remove these template messages. This article provides insufficient context for those unfamiliar with the subject. Please help improve the article. With a good introductory style. Learn how and when to remove this template message. This article may be too technical. For most readers to understand. Learn how and when to remove this template message.
bugra.github.io
Topic Modeling for the Uninitiated | Bugra Akyildiz
http://bugra.github.io/work/notes/2015-02-21/topic-modeling-for-the-uninitiated
Topic Modeling for the Uninitiated. Search became more and more important to find the needle in this haystack. Especially, if you need a very specific document, the only option you have is to depend on the search engine’s capabilities and hope for the best. In order to overcome this problem, topic models provide a nice way to explore a collection of documents that share a single common theme so-called topic . One thing to be noted before applying Topic Modeling is that you need to care a lot about word d...
