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IJCNN
2007
IEEE
15 years 3 months ago
Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
Gavin C. Cawley, Nicola L. C. Talbot
ECIR
2009
Springer
15 years 6 months ago
Risk-Aware Information Retrieval
Probabilistic retrieval models usually rank documents based on a scalar quantity. However, such models lack any estimate for the uncertainty associated with a document’s rank. Fu...
Jianhan Zhu, Jun Wang, Michael J. Taylor, Ingemar ...
ICRA
2000
IEEE
141views Robotics» more  ICRA 2000»
15 years 1 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
APSCC
2008
IEEE
15 years 4 months ago
Runtime Prediction Based Grid Scheduling of Parameter Sweep Jobs
—This paper examines the problem of predicting job runtimes by exploiting the properties of parameter sweeps. A new parameter sweep prediction framework GIPSy (Grid Information P...
Sam Verboven, Peter Hellinckx, Frans Arickx, Jan B...
ICASSP
2010
IEEE
14 years 8 months ago
Multiple sequence alignment based bootstrapping for improved incremental word learning
We investigate incremental word learning with few training examples in a Hidden Markov Model (HMM) framework suitable for an interactive learning scenario with little prior knowle...
Irene Ayllól Clemente, Martin Heckmann, Ger...