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» Heterogeneous reasoning in learning to model
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CCIA
2005
Springer
14 years 1 months ago
Comparison of Strategies Based on Evolutionary Computation for the Design of Similarity Functions
One of the main keys in case-based reasoning system is the retrieval phase, where the most similar cases are retrieved by means of a similarity function. According to the problem, ...
Albert Fornells-Herrera, J. Camps Dausà, El...
ICCBR
1999
Springer
13 years 12 months ago
REMEX - A Case-Based Approach for Reusing Software Measurement Experienceware
Abstract. For the improvement of software quality and productivity, organizations need to systematically build up and reuse software engineering know-how, promoting organizational ...
Christiane Gresse von Wangenheim
CN
2007
129views more  CN 2007»
13 years 7 months ago
Machine-learnt versus analytical models of TCP throughput
We first study the accuracy of two well-known analytical models of the average throughput of long-term TCP flows, namely the so-called SQRT and PFTK models, and show that these ...
Ibtissam El Khayat, Pierre Geurts, Guy Leduc
COLT
2008
Springer
13 years 9 months ago
Model Selection and Stability in k-means Clustering
Clustering Stability methods are a family of widely used model selection techniques applied in data clustering. Their unifying theme is that an appropriate model should result in ...
Ohad Shamir, Naftali Tishby
CVPR
2011
IEEE
13 years 3 months ago
A Segmentation-aware Object Detection Model with Occlusion Handling
The bounding box representation employed by many popular object detection models [3, 6] implicitly assumes all pixels inside the box belong to the object. This assumption makes th...
Tianshi Gao, Benjamin Packer, Daphne Koller