1412 search results - page 61 / 283 » Selectivity Estimation using Probabilistic Models |
ICML
2005
IEEE
16 years 19 days ago
2005
IEEE
In this paper, we propose a probabilistic kernel approach to preference learning based on Gaussian processes. A new likelihood function is proposed to capture the preference relat...
105
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IJON
2010
14 years 10 months ago
2010
We present two approaches to extend Robust Soft Learning Vector Quantization (RSLVQ). This algorithm for nearest prototype classification is derived from an explicit cost functio...
110
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IROS
2008
IEEE
15 years 6 months ago
2008
IEEE
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
COLING
2008
15 years 1 months ago
2008
In Japanese dependency parsing, Kudo's relative preference-based method (Kudo and Matsumoto, 2005) outperforms both deterministic and probabilistic CKY-based parsing methods....
ICPR
2004
IEEE
16 years 28 days ago
2004
IEEE
In this paper, we study the use of optical flow as a characteristic for tracking. We analyze the behavior of three flowbased observation models for particle filter algorithms, and...