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ECAL
2007
Springer
16 years 1 months ago
Measuring Entropy in Embodied Neural Agents with Homeostasic Units: A Link Between Complexity and Cybernetics
Abstract. We present a model of a recurrent neural network with homeostasic units, embodied in a minimalist articulated agent with a single link and joint. The configuration of th...
Jorge Simão
ECML
2007
Springer
16 years 1 months ago
An Improved Model Selection Heuristic for AUC
Abstract. The area under the ROC curve (AUC) has been widely used to measure ranking performance for binary classification tasks. AUC only employs the classifier’s scores to ra...
Shaomin Wu, Peter A. Flach, Cèsar Ferri Ram...
ECML
2007
Springer
16 years 1 months ago
Nondeterministic Discretization of Weights Improves Accuracy of Neural Networks
Abstract. The paper investigates modification of backpropagation algorithm, consisting of discretization of neural network weights after each training cycle. This modification, a...
Marcin Wojnarski
ECML
2007
Springer
16 years 1 months ago
Separating Precision and Mean in Dirichlet-Enhanced High-Order Markov Models
Abstract. Robustly estimating the state-transition probabilities of highorder Markov processes is an essential task in many applications such as natural language modeling or protei...
Rikiya Takahashi
ECOOP
2007
Springer
16 years 1 months ago
MAO: Ownership and Effects for More Effective Reasoning About Aspects
Abstract. Aspect-oriented advice increases the number of places one must consider during reasoning, since advice may affect all method calls and field accesses. MAO, a new variant...
Curtis Clifton, Gary T. Leavens, James Noble