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EMNLP
2011
14 years 5 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...
JMLR
2012
13 years 8 months ago
Metric and Kernel Learning Using a Linear Transformation
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
TKDE
2012
270views Formal Methods» more  TKDE 2012»
13 years 8 months ago
Low-Rank Kernel Matrix Factorization for Large-Scale Evolutionary Clustering
—Traditional clustering techniques are inapplicable to problems where the relationships between data points evolve over time. Not only is it important for the clustering algorith...
Lijun Wang, Manjeet Rege, Ming Dong, Yongsheng Din...
237
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ICSE
2012
IEEE-ACM
13 years 8 months ago
On the naturalness of software
—Natural languages like English are rich, complex, and powerful. The highly creative and graceful use of languages like English and Tamil, by masters like Shakespeare and Avvaiya...
Abram Hindle, Earl T. Barr, Zhendong Su, Mark Gabe...
WWW
2004
ACM
16 years 6 months ago
Building a companion website in the semantic web
A problem facing many textbook authors (including one of the authors of this paper) is the inevitable delay between new advances in the subject area and their incorporation in a n...
Timothy Miles-Board, Christopher Bailey, Wendy Hal...