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EMNLP
2011
13 years 10 months ago
Watermarking the Outputs of Structured Prediction with an application in Statistical Machine Translation
We propose a general method to watermark and probabilistically identify the structured outputs of machine learning algorithms. Our method is robust to local editing operations and...
Ashish Venugopal, Jakob Uszkoreit, David Talbot, F...
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
15 years 10 months ago
Probabilistic author-topic models for information discovery
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
102
Voted
WWW
2011
ACM
14 years 5 months ago
Characterizing search intent diversity into click models
Modeling a user’s click-through behavior in click logs is a challenging task due to the well-known position bias problem. Recent advances in click models have adopted the examin...
Botao Hu, Yuchen Zhang, Weizhu Chen, Gang Wang, Qi...
70
Voted
WWW
2006
ACM
15 years 11 months ago
Finding advertising keywords on web pages
A large and growing number of web pages display contextual advertising based on keywords automatically extracted from the text of the page, and this is a substantial source of rev...
Wen-tau Yih, Joshua Goodman, Vitor R. Carvalho
EDBT
2009
ACM
277views Database» more  EDBT 2009»
15 years 3 months ago
G-hash: towards fast kernel-based similarity search in large graph databases
Structured data including sets, sequences, trees and graphs, pose significant challenges to fundamental aspects of data management such as efficient storage, indexing, and simila...
Xiaohong Wang, Aaron M. Smalter, Jun Huan, Gerald ...