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AI
2011
Springer
13 years 4 months ago
Learning qualitative models from numerical data
Qualitative models are often a useful abstraction of the physical world. Learning qualitative models from numerical data sible way to obtain such an abstraction. We present a new ...
Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Dem...
CORR
2010
Springer
116views Education» more  CORR 2010»
13 years 4 months ago
Mixed-Membership Stochastic Block-Models for Transactional Networks
Abstract: Transactional network data can be thought of as a list of oneto-many communications (e.g., email) between nodes in a social network. Most social network models convert th...
Mahdi Shafiei, Hugh Chipman
SIAMIS
2011
13 years 4 months ago
Locally Parallel Texture Modeling
This article presents a new adaptive framework for locally parallel texture modeling. Oscillating patterns are modeled with functionals that constrain the local Fourier decompositi...
Pierre Maurel, Jean-François Aujol, Gabriel...
DAC
2011
ACM
12 years 9 months ago
Modeling adaptive streaming applications with parameterized polyhedral process networks
The Kahn Process Network (KPN) model is a widely used modelof-computation to specify and map streaming applications onto multiprocessor systems-on-chips. In general, KPNs are difï...
Jiali Teddy Zhai, Hristo Nikolov, Todor Stefanov
EMNLP
2011
12 years 9 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