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JMLR
2012
13 years 9 months ago
Randomized Optimum Models for Structured Prediction
One approach to modeling structured discrete data is to describe the probability of states via an energy function and Gibbs distribution. A recurring difficulty in these models is...
Daniel Tarlow, Ryan Prescott Adams, Richard S. Zem...
SOSYM
2010
176views more  SOSYM 2010»
15 years 5 months ago
On challenges of model transformation from UML to Alloy
Abstract The Unified Modeling Language (UML) is the de facto language used in the industry for software specifications. Once an application has been specified, Model Driven Arch...
Kyriakos Anastasakis, Behzad Bordbar, Geri Georg, ...
CIKM
2010
Springer
15 years 5 months ago
Context modeling for ranking and tagging bursty features in text streams
Bursty features in text streams are very useful in many text mining applications. Most existing studies detect bursty features based purely on term frequency changes without takin...
Wayne Xin Zhao, Jing Jiang, Jing He, Dongdong Shan...
IFIP
2010
Springer
15 years 1 months ago
Model Checking of Concurrent Algorithms: From Java to C
Concurrent software is difficult to verify. Because the thread schedule is not controlled by the application, testing may miss defects that occur under specific thread schedules. T...
Cyrille Artho, Masami Hagiya, Watcharin Leungwatta...
EMNLP
2011
14 years 6 months ago
Compositional Matrix-Space Models for Sentiment Analysis
We present a general learning-based approach for phrase-level sentiment analysis that adopts an ordinal sentiment scale and is explicitly compositional in nature. Thus, we can mod...
Ainur Yessenalina, Claire Cardie