Although medical language processing (MLP) has achieved some success, the actual use and dissemination of data extracted from free text by MLP systems is still very limited. We claim that the adoption of an 'enriched-document' paradigm (or 'document-centered' view) can help to address this issue. We present this paradigm and explain how it can be implemented, then discuss its expected benefits ...

In recent years numerous articles have been published which advocate a multi-level perspective (MLP) for the analysis of long term technological transitions. This paper reviews current transitions research and considers the limitations of the MLP which need to be addressed to enhance understanding of processes of innovation affecting the transformation of technology and society. The paper sugge...

In this paper we compare two machine learning algorithms (Support Vector Machine and Multi Layer Perceptrons) to perform online dynamic security assessment of an electric power system. Dynamic simulation is properly emulated by training SVM and MLP models, with a small amount of information. The experiments show that although both models produce reasonable predictions, the performance indexes o...

This paper introduces a no vel quaternion{valued MLP{ type net w ork called the Quaternionic Spinor MLP (QSMLP). In con trast to another recently proposed Quaternionic MLP it uses spinors in its propagation function. This allows very eÆciently the processing of 3D vector data, whic his demonstrated by experiments. The QSMLP is pro ven to be a universal approximator and a learning algorithm for ...

The OWE (Orthogonal Weight Estimator) architecture is constituted of a main MLP in which the values of each weight is computed by another MLP (an OWE). The number of OWEs is equal to the number of weights of the main MLP. But the computation of each OWE is done independently. Therefore the training and relaxation phases can straightforward parallelized. We report the implementation of this arch...

In this paper we demonstrate the explicative capabilities of multilayer perceptron neural networks (MLP) with automatic relevance determination (ARD) weight regularization for personal injury protection (PIP) automobile insurance claim fraud detection. The ARD objective function hyperparameter scheme provides a means for soft input selection as it allows to determine which predictor variables a...

Accumulating evidence indicates that cytoskeletal defects may be an important pathway for dilated cardiomyopathy and eventual heart failure. Targeted disruption of muscle LIM protein (MLP) has previously been shown to result in dilated cardiomyopathy with many of the clinical signs of heart failure, although the effects of MLP disruption on passive ventricular mechanics and myocyte architecture...

Problem Description: It should be well known that processors are outstripping memory performance: specifically that memory latencies are not improving as fast as processor cycle time or IPC or memory bandwidth. Thought experiment: imagine that a cache miss takes 10000 cycles to execute. For such a processor instruction level parallelism is useless, because most of the time is spent waiting for ...

Backpropagation based on minimization algorithms is replaced by heuristic search techniques for quantized weights. The resulting algorithm is fast, avoids local minima of the cost function, and may be used either as initialization method for standard backpropagation or as a logical rule extraction technique.