Neural Nets
Predictions models with neural nets
... ral nets, choice computational function of neurons and the way prediction ...multilayer neural nets and way of determination their confi ...of neural net, to get most credible ...
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Evolution of Symbolisation in Chimpanzees and Neural Nets
... allow neural nets to generalise the association of new names with the correct verb ...that neural networks can learn simple languages that use symbolic ...
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Neural nets versus conventional techniques in credit scoring in Egyptian banking
... years, neural nets (NNs), one of the best statistical techniques used in building the scoring mod- els, is regarded as a practical technology, with successful applications in many fields in financial ...
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Neural Nets for Stock Indices: Investigating Effect of Change in Hyperparameters
... late, neural networks have been very popular in the prediction based ...of neural nets becomes more com- plex with increasing number of neurons and hidden ...layered neural network has been ...
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Neural nets their use and abuse for small data sets
... Neural nets can be used for non-linear classification and regression ...non-linear neural net models with those of conventional linear statistical ...for neural networks has some way to go ...
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Computer Aided Diagnosis of Clustered Microcalcifications Using Artificial Neural Nets
... artificial neural nets: one was trained to identify the indeterminate clusters, whereas the sec- ond ANN classified the remaining clusters in benign or malignant ...
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Combining diverse neural nets
... The neural computing methods which can be employed for ensemble creation dier from those used for the same purpose in software engineering, where eorts to create diverse programs have made use of dierent teams ...
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Application of Biological Process in Neural Nets
... Artificial Neural Network(ANN) is an information processing paradigm that is inspired by nervous ...Artificial Neural Network(ANN) or Neural Network(NN) has provide an excitedly alternative method ...
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If You Can’t Beat Them Join Them: Handcrafted Features Complement Neural Nets for Non Factoid Answer Reranking
... the neural approach and the previous state-of-the-art; 3) we introduce a new dataset of Ask Ubuntu questions and ...our neural archi- tecture is introduced in Section 3, the discourse features that are ...
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ClearTAC: Verb Tense, Aspect, and Form Classification Using Neural Nets
... This neural network ar- chitecture has been successfully employed for other sequential labeling tasks, and we show that it significantly outperforms the rule-based tool TMV-annotator on the Propbank I ...
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Let’s Make Your Request More Persuasive: Modeling Persuasive Strategies via Semi Supervised Neural Nets on Crowdfunding Platforms
... a neural network to quantify persua- siveness and identify the persuasive strategies in advocacy ...erarchical neural network model is supervised by the number of people persuaded to take ac- tions and ...
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Page Stream Segmentation with Convolutional Neural Nets Combining Textual and Visual Features
... Although with (Gallo et al., 2016) there is already one study employing neural network technology not only for DIC but also for PSS, their approach was not applicable to our project for two reasons. First, as ...
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Hybridization of Neural Nets and Genetic Algorithms to Compute the Boundary Control for Controlled Heat Equation
... 12] Neural Networks have been used for solving ordinary and partial differential equa- tions with known initial and boundary ...forward neural network, which is based on steepest descent ...
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TEXT MINING TRANSPORTATION RESEARCH GRANT BIG DATA: KNOWLEDGE EXTRACTION AND PREDICTIVE MODELING USING FAST NEURAL NETS
... and curated records of over 14,000 research projects funded or proposed in the last 25 years (since 1990). We used several project descriptors such as its subject areas, funding agencies, funding amount to understand ...
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Accurate shellcode recognition from network traffic data using artificial neural nets
... Artificial Neural Networks ...artificial neural network using a supervised feedforward network with back propagation algo- rithm, to accurately identify shellcode traffic within custom generated traffic ...
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Musical Audio Synthesis Using Autoencoding Neural Nets
... artificial neural networks (ANNs) may be trained to learn a mapping from low level audio features to one or more higher-level ...autoencoding neural networks as musical audio ...artificial neural ...
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On Forecasting Recessions via Neural Nets
... the neural network model specification, the objective function is unlikely to be globally convex and thus can have many local ...the neural network model is estimated 4 times and based on the values of the ...
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Automatic extraction of strokes by quadratic neural nets
... Suppose that for a particular ellipse on a straight line, the forward neighbour in t h e upwrite space is displaced from the point (l,O,O).. Another is prediction[r] ...
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Bias-Variance Analysis of ECOC and Bagging Using Neural Nets
... Within the machine learning research, many techniques have been proposed in order to understand and analyse the success of ensemble classication methods over single-classier classications. One of the main approaches ...
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Bias-variance analysis of ECOC and bagging using neural nets
... Within machine learning research, many techniques have been proposed in order to understand and analyse the success of ensemble methods over single classifiers. One of the main approaches considers tightening the ...
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