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» Measuring the Complexity of Classification Problems
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AAAI
2008
13 years 10 months ago
Hybrid Markov Logic Networks
Markov logic networks (MLNs) combine first-order logic and Markov networks, allowing us to handle the complexity and uncertainty of real-world problems in a single consistent fram...
Jue Wang, Pedro Domingos
ATAL
2008
Springer
13 years 10 months ago
Robust and efficient plan recognition for dynamic multi-agent teams
This paper addresses the problem of plan recognition for multiagent teams. Complex multi-agent tasks typically require dynamic teams where the team membership changes over time. T...
Gita Sukthankar, Katia P. Sycara
DAGSTUHL
2010
13 years 9 months ago
Tracking Lines in Higher Order Tensor Fields
While tensors occur in many areas of science and engineering, little has been done to visualize tensors with order higher than two. Tensors of higher orders can be used for exampl...
Mario Hlawitschka, Gerik Scheuermann
NIPS
2001
13 years 9 months ago
Model Based Population Tracking and Automatic Detection of Distribution Changes
Probabilistic mixture models are used for a broad range of data analysis tasks such as clustering, classification, predictive modeling, etc. Due to their inherent probabilistic na...
Igor V. Cadez, Paul S. Bradley
BCSHCI
2009
13 years 9 months ago
Hospital user research using new media arts
This paper presents a comparative analysis of group interaction around two display types, shared and individual, using a `new media' arts application as a way to explore the ...
Cecily Morrison, Alan F. Blackwell