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ECML
2006
Springer
13 years 9 months ago
Margin-Based Active Learning for Structured Output Spaces
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...
Dan Roth, Kevin Small
EMNLP
2011
12 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...
AAAI
2006
13 years 6 months ago
Automatically Labeling the Inputs and Outputs of Web Services
Information integration systems combine data from multiple heterogeneous Web services to answer complex user queries, provided a user has semantically modeled the service first. T...
Kristina Lerman, Anon Plangprasopchok, Craig A. Kn...
ALT
2009
Springer
14 years 2 months ago
Learning Finite Automata Using Label Queries
We consider the problem of learning a finite automaton M of n states with input alphabet X and output alphabet Y when a teacher has helpfully or randomly labeled the states of M u...
Dana Angluin, Leonor Becerra-Bonache, Adrian Horia...
PVLDB
2010
145views more  PVLDB 2010»
13 years 3 months ago
Using XMorph to Transform XML Data
XMorph is a new, shape polymorphic, domain-specific XML query language. A query in a shape polymorphic language adapts to the shape of the input, freeing the user from having to k...
Curtis E. Dyreson, Sourav S. Bhowmick, Kirankanth ...