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» Selectivity Estimation using Probabilistic Models
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IJCAI
2001
15 years 1 months ago
Mode Estimation of Model-based Programs: Monitoring Systems with Complex Behavior
Deductive, mode-estimation has become an essential component of robotic space systems, like NASA's deep space probes. Future robots will serve as components of large robotic ...
Brian C. Williams, Seung Chung, Vineet Gupta
SCALESPACE
2007
Springer
15 years 6 months ago
Segmentation Under Occlusions Using Selective Shape Prior
In this work, we address the problem of segmenting multiple objects, under possible occlusions, in a level set framework. A variational energy that incorporates a piecewise constan...
Sheshadri Thiruvenkadam, Tony F. Chan, Byung-Woo H...
EMNLP
2007
15 years 1 months ago
A Probabilistic Approach to Diachronic Phonology
We present a probabilistic model of diachronic phonology in which individual word forms undergo stochastic edits along the branches of a phylogenetic tree. Our approach allows us ...
Alexandre Bouchard-Côté, Percy Liang,...
UAI
2008
15 years 1 months ago
Convex Point Estimation using Undirected Bayesian Transfer Hierarchies
When related learning tasks are naturally arranged in a hierarchy, an appealing approach for coping with scarcity of instances is that of transfer learning using a hierarchical Ba...
Gal Elidan, Benjamin Packer, Geremy Heitz, Daphne ...
ICIC
2007
Springer
15 years 6 months ago
A Sparse Kernel Density Estimation Algorithm Using Forward Constrained Regression
Abstract. Using the classical Parzen window (PW) estimate as the target function, the sparse kernel density estimator is constructed in a forward constrained regression manner. The...
Xia Hong, Sheng Chen, Chris Harris