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Michael Jordan's "Learning Natural Language Semantics" video #nlproc @yahooresearch http://bit.ly/j9r29r
nice video lecture on active learning #ml http://bit.ly/blFIc4
Scalability of the #Hadoop Distributed File System - http://goo.gl/deFk
lectures on deep learning #ml http://bit.ly/ey3kXh
good tutorial on active learning by sanjoy dasgupta & john langford #ml @yahoolabs http://bit.ly/cfCget
weekend reading - 'From Frequency to Meaning: Vector Space Models of Semantics' by @patrickpantel - http://bit.ly/bpjxWV #nlproc
RT @willf Using Ngram data for segmentation: http://t.co/VbhR5Do (Part 2 of my Bing Ngram series)
stanford core nlp (via @wangfengmadking) #nlproc http://bit.ly/bv6pMg
Running Large Graph Algorithms - Evaluation of Current State-of-the-Art and Lessons Learned http://goo.gl/WnX2
Chomsky was wrong: evolutionary analysis shows languages obey few rules http://zite.to/iadrmP
brain meaning & corpus statistics - tom mitchell's lecture on machine learning fmri scans http://j.mp/embIMA #ml #decodingthebrain
[blog post] the evolving spammer - http://semanticvoid.com/blog/2010/09/08/the-evolving-spammer/
semantic orientation of words - http://tinyurl.com/2boh857 #data #sentiment #nlproc
RT @hamiltonulmer Stop Words Are Social Signals (goes against IR common knowledge) http://is.gd/bNrRo Really interesting post by @chrisdiehl
a survey of the 10 most influential data mining algorithms http://goo.gl/bloO
Machine Learning Demos http://zite.to/k3fnOh
Rt-Rank http://zite.to/fIWgFm #ml
a good review of active learning and co-training #ml http://bit.ly/hUJZzz
greplin bloom filter http://t.co/35hNOcs
finding the chorus of a song using auto-correlation http://bit.ly/fRaQqS
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