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AI
2011
Springer
13 years 10 days 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...
WWW
2004
ACM
14 years 6 months ago
Link fusion: a unified link analysis framework for multi-type interrelated data objects
Web link analysis has proven to be a significant enhancement for quality based web search. Most existing links can be classified into two categories: intra-type links (e.g., web h...
Wensi Xi, Benyu Zhang, Zheng Chen, Yizhou Lu, Shui...
PODS
2012
ACM
240views Database» more  PODS 2012»
11 years 7 months ago
Approximate computation and implicit regularization for very large-scale data analysis
Database theory and database practice are typically the domain of computer scientists who adopt what may be termed an algorithmic perspective on their data. This perspective is ve...
Michael W. Mahoney
KES
1998
Springer
13 years 9 months ago
Attractor systems and analog computation
Attractor systems are useful in neurodynamics,mainly in the modelingof associative memory. Thispaper presentsa complexity theory for continuous phase space dynamical systems with ...
Hava T. Siegelmann, Shmuel Fishman
SIGGRAPH
1994
ACM
13 years 9 months ago
A framework for the analysis of error in global illumination algorithms
In this paper we identify sources of error in global illumination algorithms and derive bounds for each distinct category. Errors arise from three sources: inaccuracies in the bou...
James Arvo, Kenneth E. Torrance, Brian E. Smits