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ICML
2008
IEEE
16 years 16 days 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
KDD
2003
ACM
157views Data Mining» more  KDD 2003»
16 years 4 days ago
Cross-training: learning probabilistic mappings between topics
Classification is a well-established operation in text mining. Given a set of labels A and a set DA of training documents tagged with these labels, a classifier learns to assign l...
Sunita Sarawagi, Soumen Chakrabarti, Shantanu Godb...
88
Voted
CORR
2004
Springer
114views Education» more  CORR 2004»
14 years 11 months ago
Quantum Communication Cannot Simulate a Public Coin
We study the simultaneous message passing model of communication complexity. Building on the quantum fingerprinting protocol of Buhrman et al., Yao recently showed that a large cl...
Dmitry Gavinsky, Julia Kempe, Ronald de Wolf
NAACL
2007
15 years 1 months ago
Unsupervised Natural Language Processing Using Graph Models
In the past, NLP has always been based on the explicit or implicit use of linguistic knowledge. In classical computer linguistic applications explicit rule based approaches prevai...
Chris Biemann
ICSE
2010
IEEE-ACM
15 years 1 months ago
Supporting developers with natural language queries
The feature list of modern IDEs is steadily growing and mastering these tools becomes more and more demanding, especially for novice programmers. Despite their remarkable capabili...
Michael Würsch, Giacomo Ghezzi, Gerald Reif, ...