Recently Izhikevich (2003) proposed a new canonical neuron model of spike generation. The model was surprisingly simple, yet able to accurately replicate the firing patterns of d...
Abstract— Graphical variant modeling refers to a novel approach to object-oriented modeling whereby a class overrides behavior inherited from a parent class by specifying variati...
We address the task of inducing explanatory models from observations and knowledge about candidate biological processes, using the illustrative problem of modeling photosynthesis ...
Pat Langley, Oren Shiran, Jeff Shrager, Ljupco Tod...
ARIMA is a popular method to analyze stationary univariate time series data. There are usually three main stages to build an ARIMA model, including model identification, model est...
Traditional noun phrase coreference resolution systems represent features only of pairs of noun phrases. In this paper, we propose a machine learning method that enables features ...