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ICANN
2009
Springer
15 years 9 months ago
Empirical Study of the Universum SVM Learning for High-Dimensional Data
Abstract. Many applications of machine learning involve sparse highdimensional data, where the number of input features is (much) larger than the number of data samples, d n. Predi...
Vladimir Cherkassky, Wuyang Dai
ICRA
2000
IEEE
141views Robotics» more  ICRA 2000»
15 years 9 months ago
An Analytical Method to Eliminate the Redundant Parameters in Robot Calibration
Model based error compensation of a robotic manipulator, also known as robot calibration, requires the identification of its generalized errors. These errors are found from measur...
Marco A. Meggiolaro, Steven Dubowsky
118
Voted
IJCNN
2000
IEEE
15 years 9 months ago
Fog Forecasting Using Self Growing Neural Network 'CombNET-II: ' A Solution for Imbalanced Training Sets Problem
This paper proposes a method to solve problem that comes with imbalanced training sets which is often seen in the practical applications. We modi ed Self Growing Neural Network Co...
Anto Satriyo Nugroho, Susumu Kuroyanagi, Akira Iwa...
ASPDAC
2000
ACM
95views Hardware» more  ASPDAC 2000»
15 years 9 months ago
Retargetable estimation scheme for DSP architecture selection
— Given the recent wave of innovation and diversification in digital signal processor (DSP) architecture, the need for quickly evaluating the true potential of considered archite...
Naji Ghazal, A. Richard Newton, Jan M. Rabaey
VR
1999
IEEE
15 years 9 months ago
Vestibular Cues and Virtual Environments: Choosing the Magnitude of the Vestibular Cue
The design of virtual environments usually concentrates on constructing a realistic visual simulation and ignores the non-visual cues normally associated with moving through an en...
Laurence R. Harris, Michael Jenkin, Daniel C. Ziko...