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AAAI
2000
15 years 5 months ago
Localizing Search in Reinforcement Learning
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 ...
Gregory Z. Grudic, Lyle H. Ungar
ICML
2010
IEEE
15 years 5 months ago
Multiagent Inductive Learning: an Argumentation-based Approach
Multiagent Inductive Learning is the problem that groups of agents face when they want to perform inductive learning, but the data of interest is distributed among them. This pape...
Santiago Ontañón, Enric Plaza
MM
2004
ACM
151views Multimedia» more  MM 2004»
15 years 9 months ago
Multimodal concept-dependent active learning for image retrieval
It has been established that active learning is effective for learning complex, subjective query concepts for image retrieval. However, active learning has been applied in a conc...
Kingshy Goh, Edward Y. Chang, Wei-Cheng Lai
ISLPED
1995
ACM
103views Hardware» more  ISLPED 1995»
15 years 7 months ago
Information theoretic measures of energy consumption at register transfer level
- The problem of estimating the energy consumption at register transfer level is addressed from an information theoretical point of view. It is shown that the average switching act...
Diana Marculescu, Radu Marculescu, Massoud Pedram
RIAO
2007
15 years 5 months ago
Discriminative Fields for Modeling Semantic Concepts in Video
According to some current thinking, a very large number of semantic concepts could provide researcher a novel way to characterize video and be utilized for video retrieval and und...
Ming-yu Chen, Alexander G. Hauptmann