Difference between revisions of "Class meeting for 10-605 Randomized"
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* [http://www.cs.jhu.edu/~vandurme/papers/VanDurmeLallACL10.pdf Online Generation of Locality Sensitive Hash Signatures]. Benjamin Van Durme and Ashwin Lall. ACL Short. 2010 | * [http://www.cs.jhu.edu/~vandurme/papers/VanDurmeLallACL10.pdf Online Generation of Locality Sensitive Hash Signatures]. Benjamin Van Durme and Ashwin Lall. ACL Short. 2010 | ||
* [http://www.umiacs.umd.edu/~amit/Papers/goyalPointQueryEMNLP12.pdf Sketch Algorithms for Estimating Point Queries in NLP.] Amit Goyal, Hal Daume III, and Graham Cormode, EMNLP 2012] | * [http://www.umiacs.umd.edu/~amit/Papers/goyalPointQueryEMNLP12.pdf Sketch Algorithms for Estimating Point Queries in NLP.] Amit Goyal, Hal Daume III, and Graham Cormode, EMNLP 2012] | ||
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| + | === Key things to remember === | ||
| + | |||
| + | * The API for the randomized methods we studied: Bloom filters, LSH, CM sketches | ||
| + | * What are the key tradeoffs associated with these methods, in terms of space/time efficiency. | ||
| + | * What guarantees are possible, and how space grows as you require more accuracy. | ||
Revision as of 17:46, 4 December 2015
This is one of the class meetings on the schedule for the course Machine Learning with Large Datasets 10-605 in Fall_2015.
Slides
Comment: I'm going to start off with a few slides related to the upcoming assignment on MF with Spark.
Supplement:
Optional Readings
- Randomized Algorithms and NLP: Using Locality Sensitive Hash Functions for High Speed Noun Clustering Deepak Ravichandran, Patrick Pantel, and Eduard Hovy
- Online Generation of Locality Sensitive Hash Signatures. Benjamin Van Durme and Ashwin Lall. ACL Short. 2010
- Sketch Algorithms for Estimating Point Queries in NLP. Amit Goyal, Hal Daume III, and Graham Cormode, EMNLP 2012]
Key things to remember
- The API for the randomized methods we studied: Bloom filters, LSH, CM sketches
- What are the key tradeoffs associated with these methods, in terms of space/time efficiency.
- What guarantees are possible, and how space grows as you require more accuracy.
