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» Prediction on Spike Data Using Kernel Algorithms
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ICRA
2002
IEEE
114views Robotics» more  ICRA 2002»
14 years 22 days ago
Learning Motion Patterns of Persons for Mobile Service Robots
We propose a method for learning models of people’s motion behaviors in an indoor environment. As people move through their environments, they do not move randomly. Instead, the...
Maren Bennewitz, Wolfram Burgard, Sebastian Thrun
WICON
2008
13 years 9 months ago
Constructing accurate, space-efficient, wireless coverage maps for vehicular contexts
Wireless connectivity for vehicles is a fast-growing market, with a plethora of different network technologies already in use. Surveys of the numbers of IEEE 802.11b/g access poin...
David N. Cottingham, Robert K. Harle, Andy Hopper
ICCV
2009
IEEE
15 years 23 days ago
Efficient subset selection based on the Renyi entropy
Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive operation if implemented straightforwardly. Several methods have been proposed t...
Vlad I. Morariu1, Balaji V. Srinivasan, Vikas C. R...
NIPS
2008
13 years 9 months ago
Automatic online tuning for fast Gaussian summation
Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive operation if implemented straightforwardly. Several methods have been proposed to...
Vlad I. Morariu, Balaji Vasan Srinivasan, Vikas C....
KDD
2006
ACM
191views Data Mining» more  KDD 2006»
14 years 8 months ago
Beyond classification and ranking: constrained optimization of the ROI
Classification has been commonly used in many data mining projects in the financial service industry. For instance, to predict collectability of accounts receivable, a binary clas...
Lian Yan, Patrick Baldasare