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NIPS
1998
15 years 8 months ago
Semi-Supervised Support Vector Machines
We introduce a semi-supervised support vector machine (S3 VM) method. Given a training set of labeled data and a working set of unlabeled data, S3 VM constructs a support vector m...
Kristin P. Bennett, Ayhan Demiriz
ATAL
2010
Springer
15 years 8 months ago
An effective personal mobile robot agent through symbiotic human-robot interaction
Several researchers, present authors included, envision personal mobile robot agents that can assist humans in their daily tasks. Despite many advances in robotics, such mobile ro...
Stephanie Rosenthal, Joydeep Biswas, Manuela M. Ve...
AROBOTS
2007
159views more  AROBOTS 2007»
15 years 7 months ago
Structure-based color learning on a mobile robot under changing illumination
— A central goal of robotics and AI is to be able to deploy an agent to act autonomously in the real world over an extended period of time. To operate in the real world, autonomo...
Mohan Sridharan, Peter Stone
BMCBI
2006
137views more  BMCBI 2006»
15 years 7 months ago
Chaos game representation for comparison of whole genomes
Background: Chaos game representation of genome sequences has been used for visual representation of genome sequence patterns as well as alignment-free comparisons of sequences ba...
Jijoy Joseph, Roschen Sasikumar
IDA
2008
Springer
15 years 7 months ago
Estimating the depth of anesthesia using fuzzy soft computation applied to EEG features
Estimating the depth of anesthesia (DOA) is still a challenging area in anesthesia research. The objective of this study was to design a fuzzy rule based system which integrates el...
V. Esmaeili, Amin Assareh, M. B. Shamsollahi, Moha...