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» Approximation Techniques for Spatial Data
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CHI
2005
ACM
14 years 9 months ago
QueryLines: approximate query for visual browsing
We introduce approximate query techniques for searching and analyzing two-dimensional data sets such as line or scatter plots. Our techniques allow users to explore a dataset by d...
Kathy Ryall, Neal Lesh, Tom Lanning, Darren Leigh,...
IPMI
2005
Springer
14 years 9 months ago
Approximating Anatomical Brain Connectivity with Diffusion Tensor MRI Using Kernel-Based Diffusion Simulations
We present a new technique for noninvasively tracing brain white matter fiber tracts using diffusion tensor magnetic resonance imaging (DT-MRI). This technique is based on performi...
Jun Zhang, Ning Kang, Stephen E. Rose
AAAI
2008
13 years 11 months ago
Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
Hirotaka Hachiya, Takayuki Akiyama, Masashi Sugiya...
JMLR
2010
125views more  JMLR 2010»
13 years 3 months ago
Maximum Likelihood in Cost-Sensitive Learning: Model Specification, Approximations, and Upper Bounds
The presence of asymmetry in the misclassification costs or class prevalences is a common occurrence in the pattern classification domain. While much interest has been devoted to ...
Jacek P. Dmochowski, Paul Sajda, Lucas C. Parra
ICDE
2009
IEEE
135views Database» more  ICDE 2009»
14 years 10 months ago
Space-Constrained Gram-Based Indexing for Efficient Approximate String Search
Abstract-- Answering approximate queries on string collections is important in applications such as data cleaning, query relaxation, and spell checking, where inconsistencies and e...
Alexander Behm, Shengyue Ji, Chen Li, Jiaheng Lu