The NLP systems often have low performances because they rely on unreliable and heterogeneous knowledge. We show on the task of non-anaphoric it identification how to overcome the...
We transform the outputs of each hidden neuron in a multi-layer perceptron network to have zero output and zero slope on average, and use separate shortcut connections to model th...
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
Current firewall configuration languages have no well founded semantics. Each firewall implements its own algorithm that parses specific proprietary languages. The main conseq...
Dataflow synchronous languages have attracted considerable interest in domains such as real-time control and hardware design. The potential benefits are promising: Discrete-time...