3250 search results - page 93 / 650 » Parameterized Learning Complexity |
100
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ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
In this paper, we use large neighborhood Markov random fields to learn rich prior models of color images. Our approach extends the monochromatic Fields of Experts model (Roth &...
145
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AAAI
2006
15 years 3 months ago
2006
Reinforcement learning problems are commonly tackled with temporal difference methods, which attempt to estimate the agent's optimal value function. In most real-world proble...
115
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ICCV
2009
IEEE
16 years 7 months ago
2009
IEEE
Recognizing object classes and their 3D viewpoints is an
important problem in computer vision. Based on a partbased
probabilistic representation [31], we propose a new
3D object...
105
Voted
ICDM
2007
IEEE
15 years 8 months ago
2007
IEEE
We present a machine learning methodology (models, algorithms, and experimental data) to discovering the agent dynamics that drive the evolution of the social groups in a communit...
120
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AAAI
2000
15 years 3 months ago
2000
Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a ...