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IJCAI
2007
13 years 10 months ago
Automatic Gait Optimization with Gaussian Process Regression
Gait optimization is a basic yet challenging problem for both quadrupedal and bipedal robots. Although techniques for automating the process exist, most involve local function opt...
Daniel J. Lizotte, Tao Wang, Michael H. Bowling, D...
NIPS
2008
13 years 10 months ago
Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes
Identification and comparison of nonlinear dynamical system models using noisy and sparse experimental data is a vital task in many fields, however current methods are computation...
Ben Calderhead, Mark Girolami, Neil D. Lawrence
NIPS
2007
13 years 10 months ago
Multi-task Gaussian Process Prediction
In this paper we investigate multi-task learning in the context of Gaussian Processes (GP). We propose a model that learns a shared covariance function on input-dependent features...
Edwin V. Bonilla, Kian Ming Chai, Christopher K. I...
VMV
2008
107views Visualization» more  VMV 2008»
13 years 10 months ago
Learning with Few Examples using a Constrained Gaussian Prior on Randomized Trees
Machine learning with few training examples always leads to over-fitting problems, whereas human individuals are often able to recognize difficult object categories from only one ...
Erik Rodner, Joachim Denzler
CSREASAM
2006
13 years 10 months ago
Application of Gaussian Estimation for Devising Reliable Vulnerability Assessment on SIP-based VoIP Infrastructure
The Session Initiation Protocol (SIP) is an application-layer protocol commonly used in VoIP for communication over the Internet. In this paper we describe a method to assess a pa...
Mohammad Chowdhury, Bon Sy, Rasheed Ahmad