3250 search results - page 241 / 650 » Parameterized Learning Complexity |
123
Voted
ALT
2002
Springer
16 years 3 months ago
2002
Springer
In this paper, we close the gap between the simple and straight-forward implementations of top-down hill-climbing that can be found in the literature, and the rather complex strate...
174
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ICRA
2009
IEEE
16 years 1 months ago
2009
IEEE
— We present an algorithm for learning 3D object models from partial object observations. The input to our algorithm is a sequence of 3D laser range scans. Models learned from th...
171
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ICCBR
2009
Springer
16 years 29 days ago
2009
Springer
A model-free, case-based learning and control algorithm called S-learning is described as implemented in a simulation of a light-seeking mobile robot. S-learning demonstrated learn...
195
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PKDD
2009
Springer
16 years 28 days ago
2009
Springer
Abstract. Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic...
162
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PKDD
2007
Springer
16 years 15 days ago
2007
Springer
Abstract. This paper shows how multi-dimensional functions, describing the operation of complex equipment, can be learned. The functions are points in a shape space, each produced ...