作者: Limpid 時間: 2025-3-21 23:34 作者: TAIN 時間: 2025-3-22 01:38
Tauwasser im Inneren von Bauteilen, of the respective performance is detected. Results are presented based on the IST HUMAINE NoE naturalistic database; both facial expression information and prosodic audio features are extracted from the same data and feature-based emotion analysis is performed through the proposed adaptive neural network methodology.作者: 冷峻 時間: 2025-3-22 08:32
The Land and Residential Patterns,lidean CG descent. Since a drawback of full natural gradient is its larger computational cost, we also consider some cost simplifying variants and show that one of them, diagonal natural CG, also gives better minima than standard CG, with a comparable complexity.作者: obsolete 時間: 2025-3-22 09:25
A Functional Approach to Variable Selection in Spectrometric Problemsster than selecting variables. Moreover, a B-spline coefficient depends only on a limited range of original variables: this preserves interpretability of the selected variables. We demonstrate the interest of the proposed method on real-world data.作者: Chagrin 時間: 2025-3-22 16:27
Speeding Up the Wrapper Feature Subset Selection in Regression by Mutual Information Relevance and Rs compared to a stand-alone wrapper approach. Finally, the wrapper takes the bias of the regression model into account, because the regression model guides the search for optimal features. Results are shown for the ‘Boston housing’ and ‘orange juice’ benchmarks based on the multilayer perceptron regression model.作者: acquisition 時間: 2025-3-22 19:47
Adaptive On-Line Neural Network Retraining for Real Life Multimodal Emotion Recognition of the respective performance is detected. Results are presented based on the IST HUMAINE NoE naturalistic database; both facial expression information and prosodic audio features are extracted from the same data and feature-based emotion analysis is performed through the proposed adaptive neural network methodology.作者: 休閑 時間: 2025-3-22 21:13 作者: jealousy 時間: 2025-3-23 04:12
Dimensionality Reduction Based on ICA for Regression Problemsregression problems by maximizing the joint mutual information between target variable and new features. Using the new features, we can greatly reduce the dimension of feature space without degrading the regression performance.作者: 旅行路線 時間: 2025-3-23 06:11 作者: micronutrients 時間: 2025-3-23 13:02
Learning Long Term Dependencies with Recurrent Neural Networkshat RNNs and especially normalised recurrent neural networks (NRNNs) unfolded in time are indeed very capable of learning time lags of at least a hundred time steps. We further demonstrate that the problem of a vanishing gradient does not apply to these networks.作者: 異端 時間: 2025-3-23 16:56
Framework for the Interactive Learning of Artificial Neural Networksmance by incorporating his or her lifelong experience. This interaction is similar to the process of teaching children, where teacher observes their responses to questions and guides the process of learning. Several methods of interaction with neural network training are described and demonstrated in the paper.作者: 發(fā)微光 時間: 2025-3-23 19:13
Neural Network Architecture Selection: Size Depends on Function Complexitywhole set of simulations results. The main result of the paper is that for a set of quasi-random generated Boolean functions it is found that large neural networks generalize better on high complexity functions in comparison to smaller ones, which performs better in low and medium complexity functions.作者: ACTIN 時間: 2025-3-23 23:07
Competitive Repetition-suppression (CoRe) Learningurons activations as a source of training information and to drive memory formation. As a case study, the paper reports the CoRe learning rules that have been derived for the unsupervised training of a Radial Basis Function network.作者: floaters 時間: 2025-3-24 04:38
MaxMinOver Regression: A Simple Incremental Approach for Support Vector Function Approximationes were augmented to soft margins based on the .-SVM and the C2-SVM. We extended the last approach to SoftDoubleMaxMinOver [3] and finally this method leads to a Support Vector regression algorithm which is as efficient and its implementation as simple as the C2-SoftDoubleMaxMinOver classification algorithm.作者: 艱苦地移動 時間: 2025-3-24 09:34 作者: 行業(yè) 時間: 2025-3-24 12:41
G. Assmann,J. Augustin,H. Wielandail. The case of recognition with learning is also considered. As method of solution of optimal feature extraction a genetic algorithm is proposed. A numerical example demonstrating capability of proposed approach to solve feature extraction problem is presented.作者: Exposition 時間: 2025-3-24 15:12
Molecular Biology Intelligence Unitr of neurons. The training procedure is applied to the face recognition task. Preliminary experiments on a public available face image dataset show the same performance as the optimized off-line method. A comparison with other classical methods of face recognition demonstrates the properties of the system.作者: exquisite 時間: 2025-3-24 20:31
Class Struggle and Historical Developmentntribution of this paper is that these two stages are performed within one regression context using Cholesky decomposition, leading to significantly neural network performance and concise real-time network construction procedures.作者: nonradioactive 時間: 2025-3-25 00:58
https://doi.org/10.1007/978-1-349-08378-7, a variational formulation for the multilayer perceptron provides a direct method for the solution of general variational problems, in any dimension and up to any degree of accuracy. In order to validate this technique we use a multilayer perceptron to solve some classical problems in the calculus of variations.作者: 徹底明白 時間: 2025-3-25 05:20
The Bayes-Optimal Feature Extraction Procedure for Pattern Recognition Using Genetic Algorithmail. The case of recognition with learning is also considered. As method of solution of optimal feature extraction a genetic algorithm is proposed. A numerical example demonstrating capability of proposed approach to solve feature extraction problem is presented.作者: terazosin 時間: 2025-3-25 10:48
On-Line Learning with Structural Adaptation in a Network of Spiking Neurons for Visual Pattern Recogr of neurons. The training procedure is applied to the face recognition task. Preliminary experiments on a public available face image dataset show the same performance as the optimized off-line method. A comparison with other classical methods of face recognition demonstrates the properties of the system.作者: overshadow 時間: 2025-3-25 14:40 作者: 荒唐 時間: 2025-3-25 17:45
A Variational Formulation for the Multilayer Perceptron, a variational formulation for the multilayer perceptron provides a direct method for the solution of general variational problems, in any dimension and up to any degree of accuracy. In order to validate this technique we use a multilayer perceptron to solve some classical problems in the calculus of variations.作者: 臆斷 時間: 2025-3-25 22:21
Jan Augustin,Gert Middelhoff,W. Virgil Brownregression problems by maximizing the joint mutual information between target variable and new features. Using the new features, we can greatly reduce the dimension of feature space without degrading the regression performance.作者: avarice 時間: 2025-3-26 00:43 作者: 絕種 時間: 2025-3-26 06:27
Fetuin in Plasma and Cerebrospinal Fluid,hat RNNs and especially normalised recurrent neural networks (NRNNs) unfolded in time are indeed very capable of learning time lags of at least a hundred time steps. We further demonstrate that the problem of a vanishing gradient does not apply to these networks.作者: 提名的名單 時間: 2025-3-26 10:26
,Me?- und Bestimmungsverfahren,mance by incorporating his or her lifelong experience. This interaction is similar to the process of teaching children, where teacher observes their responses to questions and guides the process of learning. Several methods of interaction with neural network training are described and demonstrated in the paper.作者: exacerbate 時間: 2025-3-26 14:02
Studies in Historical Sociologywhole set of simulations results. The main result of the paper is that for a set of quasi-random generated Boolean functions it is found that large neural networks generalize better on high complexity functions in comparison to smaller ones, which performs better in low and medium complexity functions.作者: armistice 時間: 2025-3-26 20:52
https://doi.org/10.1007/978-1-349-08378-7urons activations as a source of training information and to drive memory formation. As a case study, the paper reports the CoRe learning rules that have been derived for the unsupervised training of a Radial Basis Function network.作者: radiograph 時間: 2025-3-27 00:35
https://doi.org/10.1007/978-1-349-08378-7es were augmented to soft margins based on the .-SVM and the C2-SVM. We extended the last approach to SoftDoubleMaxMinOver [3] and finally this method leads to a Support Vector regression algorithm which is as efficient and its implementation as simple as the C2-SoftDoubleMaxMinOver classification algorithm.作者: 宮殿般 時間: 2025-3-27 04:30
https://doi.org/10.1007/978-3-658-05685-8rgence problem (gradient blow up) observed with the assumption where the net parameters are constant along the window. The limit of this assumption is demonstrated and parameters evolution storage, used as a solution for this problem, is detailed.作者: 公式 時間: 2025-3-27 05:37
Time Window Width Influence on Dynamic BPTT(h) Learning Algorithm Performances: Experimental Studyrgence problem (gradient blow up) observed with the assumption where the net parameters are constant along the window. The limit of this assumption is demonstrated and parameters evolution storage, used as a solution for this problem, is detailed.作者: Nonconformist 時間: 2025-3-27 12:22
Conference proceedings 2006 Greece, with tutorials being presented on September 10, the main conference taking place during September 11-13 and accompanying workshops on perception, cognition and interaction held on September 14, 2006. The ICANN conference is organized annually by the European Neural Network Society in cooper作者: Daily-Value 時間: 2025-3-27 14:44 作者: GROSS 時間: 2025-3-27 20:05
0302-9743 mitted to the conference, the International Program Committee selected, following a thorough peer-review process, 208 papers for publication and presentation to978-3-540-38625-4978-3-540-38627-8Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: BRAWL 時間: 2025-3-28 01:02 作者: 期滿 時間: 2025-3-28 02:56 作者: 積習難改 時間: 2025-3-28 08:51
Epidemiologie der Atherosklerose,on (AIC), the consistent Akaike’s information criterion (CAIC), Schwarz’s Bayesian Inference Criterion (BIC) which coincides with Rissanen’s Minimum Description Length (MDL) criterion, and the well-known technique cross-validation (CV), as well as the Bayesian Ying-Yang harmony criterion on a small 作者: Gastric 時間: 2025-3-28 12:53
Dimensionality Reduction Based on ICA for Regression Problemsns of feature space and achieving better performance. In this paper, we show how standard algorithms for independent component analysis (ICA) can be applied to extract features for regression problems. The advantage is that general ICA algorithms become available to a task of feature extraction for 作者: 起來了 時間: 2025-3-28 14:59 作者: hangdog 時間: 2025-3-28 19:31 作者: AXIOM 時間: 2025-3-28 23:00
Speeding Up the Wrapper Feature Subset Selection in Regression by Mutual Information Relevance and Rancy filter using mutual information between regression and target variables. We introduce permutation tests to find statistically significant relevant and redundant features. Second, a wrapper searches for good candidate feature subsets by taking the regression model into account. The advantage of 作者: Glaci冰 時間: 2025-3-29 06:41 作者: Visual-Acuity 時間: 2025-3-29 07:25
Comparative Investigation on Dimension Reduction and Regression in Three Layer Feed-Forward Neural Nd as taking the role of feature extraction and dimension reduction, and that the regression performance relies on how the feature dimension or equivalently the number of hidden units is determined appropriately. There are many publications on determining the hidden unit number for a desired generali作者: Increment 時間: 2025-3-29 13:10
On-Line Learning with Structural Adaptation in a Network of Spiking Neurons for Visual Pattern Recogic plasticity and changes in the network structure. Event driven computation optimizes processing speed in order to simulate networks with large number of neurons. The training procedure is applied to the face recognition task. Preliminary experiments on a public available face image dataset show th作者: 甜食 時間: 2025-3-29 18:01
Learning Long Term Dependencies with Recurrent Neural Networksntify long-term dependencies in the data. Especially when they are trained with backpropagation through time (BPTT) it is claimed that RNNs unfolded in time fail to learn inter-temporal influences more than ten time steps apart..This paper provides a disproof of this often cited statement. We show t作者: 絕緣 時間: 2025-3-29 23:01
Adaptive On-Line Neural Network Retraining for Real Life Multimodal Emotion Recognitionadvances have been made in unimodal speech and video emotion analysis where facial expression information and prosodic audio features are treated independently. The need however to combine the two modalities in a naturalistic context, where adaptation to specific human characteristics and expressivi作者: Debrief 時間: 2025-3-29 23:55
Time Window Width Influence on Dynamic BPTT(h) Learning Algorithm Performances: Experimental Studyme BPTT(h) learning algorithms. Statistical experiments based on the identification of a real biped robot balancing mechanism are carried out to raise the link between the window width and the stability, the speed and the accuracy of the learning. The time window width choice is shown to be crucial 作者: nonplus 時間: 2025-3-30 04:05 作者: 滔滔不絕地講 時間: 2025-3-30 09:15
Analytic Equivalence of Bayes a Posteriori Distributionson matrices and different learning performance from regular statistical models. In this paper, we prove mathematically that the learning coefficient is determined by the analytic equivalence class of Kullback information, and show experimentally that the stochastic complexity by the MCMC method is a作者: MONY 時間: 2025-3-30 16:25
Neural Network Architecture Selection: Size Depends on Function Complexityneralization process on the complexity of the function implemented by neural architecture is studied using a recently introduced measure for the complexity of the Boolean functions. Furthermore an association rule discovery (ARD) technique was used to find associations among subsets of items in the 作者: Gourmet 時間: 2025-3-30 18:39 作者: 頭腦冷靜 時間: 2025-3-30 21:11 作者: chandel 時間: 2025-3-31 04:04 作者: 破譯 時間: 2025-3-31 07:07
A Variational Formulation for the Multilayer Perceptronation, the learning problem for the multilayer perceptron lies in terms of finding a function which is an extremal for some functional. As we will see, a variational formulation for the multilayer perceptron provides a direct method for the solution of general variational problems, in any dimension 作者: limber 時間: 2025-3-31 11:34 作者: Legend 時間: 2025-3-31 16:01 作者: acolyte 時間: 2025-3-31 20:43 作者: 愛哭 時間: 2025-4-1 00:00 作者: 單調(diào)性 時間: 2025-4-1 02:37 作者: 場所 時間: 2025-4-1 10:01 作者: Torrid 時間: 2025-4-1 12:07
Building Ensembles of Neural Networks with Class-Switchingon of the training data. The perturbation consists in switching the class labels of a subset of training examples selected at random. Experiments on several UCI and synthetic datasets show that these class-switching ensembles can obtain improvements in classification performance over both individual networks and bagging ensembles.作者: Intractable 時間: 2025-4-1 18:23 作者: 花爭吵 時間: 2025-4-1 20:37
Jan Augustin,Gert Middelhoff,W. Virgil Brown, even fast variable selection methods lead to high computational load. However, spectra are generally smooth and can therefore be accurately approximated by splines. In this paper, we propose to use a B-spline expansion as a pre-processing step before variable selection, in which original variables作者: 憤慨點吧 時間: 2025-4-2 02:38 作者: 防水 時間: 2025-4-2 05:17
https://doi.org/10.1007/978-3-642-66302-4ancy filter using mutual information between regression and target variables. We introduce permutation tests to find statistically significant relevant and redundant features. Second, a wrapper searches for good candidate feature subsets by taking the regression model into account. The advantage of 作者: 和諧 時間: 2025-4-2 08:26
Günther Dietze,Hans-Ulrich H?ringparameters coming from irrelevant or redundant variables are eliminated. Information theory provides a robust theoretical framework for performing input variable selection thanks to the concept of mutual information. Nevertheless, for continuous variables, it is usually a more difficult task to dete作者: 艦旗 時間: 2025-4-2 12:29 作者: V洗浴 時間: 2025-4-2 16:37
Molecular Biology Intelligence Unitic plasticity and changes in the network structure. Event driven computation optimizes processing speed in order to simulate networks with large number of neurons. The training procedure is applied to the face recognition task. Preliminary experiments on a public available face image dataset show th
