2440 search results - page 279 / 488 » Abstraction Learning |
104
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PKDD
2010
Springer
14 years 11 months ago
2010
Springer
Abstract. One of the key problems in model-based reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large relational domains, in wh...
126
Voted
NIPS
2004
15 years 2 months ago
2004
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
101
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ICASSP
2009
IEEE
15 years 7 months ago
2009
IEEE
In this paper we propose a new technique for robust keyword spotting that uses bidirectional Long Short-Term Memory (BLSTM) recurrent neural nets to incorporate contextual informa...
94
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ICPR
2010
IEEE
14 years 10 months ago
2010
IEEE
Abstract--In this paper we propose a new multi-view semisupervised learning algorithm called Local Co-Training (LCT). The proposed algorithm employs a set of local models with vect...
126
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COGSR
2011
14 years 7 months ago
2011
We simulate the evolution of a domain vocabulary in small communities. Empirical data show that human communicators can evolve graphical languages quickly in a constrained task (P...