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NN
2006
Springer
120views Neural Networks» more  NN 2006»
14 years 9 months ago
Computational intelligence in earth sciences and environmental applications: Issues and challenges
This paper introduces a generic theoretical framework for predictive learning, and relates it to data-driven and learning applications in earth and environmental sciences. The iss...
Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dim...
ACSC
2004
IEEE
15 years 1 months ago
Detecting Privacy and Ethical Sensitivity in Data Mining Results
Knowledge discovery allows considerable insight into data. This brings with it the inherent risk that what is inferred may be private or ethically sensitive. The process of genera...
Peter Fule, John F. Roddick
CVPR
2010
IEEE
15 years 6 months ago
Locally-Parametric Pictorial Structures
Pictorial structure (PS) models are extensively used for part-based recognition of scenes, people, animals and multi-part objects. To achieve tractability, the structure and param...
Benjamin Sapp, Chris Jordan, Ben Taskar
ACL
1992
14 years 11 months ago
GPSM: A Generalized Probabilistic Semantic Model for Ambiguity Resolution
In natural language processing, ambiguity resolution is a central issue, and can be regarded as a preference assignment problem. In this paper, a Generalized Probabilistic Semanti...
Jing-Shin Chang, Yih-Fen Luo, Keh-Yih Su
OOPSLA
2010
Springer
14 years 8 months ago
Language virtualization for heterogeneous parallel computing
As heterogeneous parallel systems become dominant, application developers are being forced to turn to an incompatible mix of low level programming models (e.g. OpenMP, MPI, CUDA, ...
Hassan Chafi, Zach DeVito, Adriaan Moors, Tiark Ro...