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ICGI
2010
Springer
13 years 9 months ago
Generalizing over Several Learning Settings
We recapitulate regular one-shot learning from membership and equivalence queries, positive and negative finite data. We present a meta-algorithm that generalizes over as many sett...
Anna Kasprzik
SIGMOD
2010
ACM
224views Database» more  SIGMOD 2010»
13 years 8 months ago
GDR: a system for guided data repair
Improving data quality is a time-consuming, labor-intensive and often domain specific operation. Existing data repair approaches are either fully automated or not efficient in int...
Mohamed Yakout, Ahmed K. Elmagarmid, Jennifer Nevi...
COLING
2008
13 years 9 months ago
The Impact of Reference Quality on Automatic MT Evaluation
Language resource quality is crucial in NLP. Many of the resources used are derived from data created by human beings out of an NLP context, especially regarding MT and reference ...
Olivier Hamon, Djamel Mostefa
ICWSM
2010
13 years 9 months ago
Star Quality: Aggregating Reviews to Rank Products and Merchants
Given a set of reviews of products or merchants from a wide range of authors and several reviews websites, how can we measure the true quality of the product or merchant? How do w...
Mary McGlohon, Natalie S. Glance, Zach Reiter
ICML
2008
IEEE
14 years 9 months ago
Memory bounded inference in topic models
What type of algorithms and statistical techniques support learning from very large datasets over long stretches of time? We address this question through a memory bounded version...
Ryan Gomes, Max Welling, Pietro Perona