3051 search results - page 78 / 611 » Learning Internal Representations |
106
Voted
ICDM
2008
IEEE
15 years 9 months ago
2008
IEEE
In this paper, we present a novel feature extraction framework, called learning by propagability. The whole learning process is driven by the philosophy that the data labels and o...
124
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ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
We consider the problem of estimating the policy gradient in Partially Observable Markov Decision Processes (POMDPs) with a special class of policies that are based on Predictive ...
107
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AI
2004
Springer
15 years 8 months ago
2004
Springer
If we are to understand human-level intelligence, we need to understand how meanings can be learned without explicit instruction. I take a step toward that understanding by showing...
146
Voted
CICLING
2007
Springer
15 years 9 months ago
2007
Springer
Semantic parsing is the task of mapping a natural language sentence into a complete, formal meaning representation. Over the past decade, we have developed a number of machine lear...
131
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ACL
2006
15 years 4 months ago
2006
We present a new approach for mapping natural language sentences to their formal meaning representations using stringkernel-based classifiers. Our system learns these classifiers ...