標(biāo)題: Titlebook: Computational and Ambient Intelligence; 9th International Wo Francisco Sandoval,Alberto Prieto,Manuel Gra?a Conference proceedings 2007 Spr [打印本頁] 作者: ONSET 時(shí)間: 2025-3-21 16:49
書目名稱Computational and Ambient Intelligence影響因子(影響力)
書目名稱Computational and Ambient Intelligence影響因子(影響力)學(xué)科排名
書目名稱Computational and Ambient Intelligence網(wǎng)絡(luò)公開度
書目名稱Computational and Ambient Intelligence網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Computational and Ambient Intelligence被引頻次
書目名稱Computational and Ambient Intelligence被引頻次學(xué)科排名
書目名稱Computational and Ambient Intelligence年度引用
書目名稱Computational and Ambient Intelligence年度引用學(xué)科排名
書目名稱Computational and Ambient Intelligence讀者反饋
書目名稱Computational and Ambient Intelligence讀者反饋學(xué)科排名
作者: transplantation 時(shí)間: 2025-3-22 00:01 作者: alliance 時(shí)間: 2025-3-22 01:36
A Comparative Study of PCA, ICA and Class-Conditional ICA for Na?ve Bayes Classifiere preprocessing procedures, namely Principle Component Analysis (PCA), Independent Component Analysis (ICA) and class-conditional ICA, for Na?ve Bayes classifier. It is found that all the three procedures keep improving the performance of the Na?ve Bayes classifier with the increase of the number of作者: cumber 時(shí)間: 2025-3-22 08:06
Effect of Increasing Inhibitory Inputs on Information Processing Within a Small Network of Spiking Nxcitatory unit E and an inhibitory unit I is studied. The membrane potential of the neuron A is described by a jump diffusion model. Several types of interspike interval distributions of the excitatory strong inputs are considered as Poissonian inhibitory inputs increase intensity. It is shown that,作者: IRATE 時(shí)間: 2025-3-22 10:24 作者: 起來了 時(shí)間: 2025-3-22 15:35 作者: 起來了 時(shí)間: 2025-3-22 17:59
Power Quality Event Identification Using Higher-Order Statistics and Neural Classifiersals. Their maxima and minima are the main features, and the classification strategy is based in competitive layers. Concretely, we concentrate on the task of differentiating two types of transients (short duration and long duration). By measuring the fourth-order central cumulants’ maxima and minima作者: dominant 時(shí)間: 2025-3-23 00:40
Bio-inspired Memory Generation by Recurrent Neural Networksntal investigations. A large body of evidence suggests that higher brain centres of insects are important for learning, short-term and long-term memory and play an important role for context generalisation. In this paper, we focus on artificial recurrent neural networks that model non-linear systems作者: nugatory 時(shí)間: 2025-3-23 01:27 作者: 外表讀作 時(shí)間: 2025-3-23 06:26
A Study on the Use of Statistical Tests for Experimentation with Neural Networks study of the non-parametric tests use is presented, using some well-known models of neural networks. The results show the need of using non-parametric statistic, because the Artificial Neural Networks used do not verify the hypothesis required for classical parametric tests.作者: seruting 時(shí)間: 2025-3-23 11:49
A Comparison Between ANN Generation and Training Methods and Their Development by Means of Graph Evoon (EC) tools is compared with the traditional evolutionary techniques used for ANN development. The technique used here is based on network encoding on graphs and also their performance and evolution. For this comparison, 2 different real-world problems have been solved using various tools, and the作者: 使殘廢 時(shí)間: 2025-3-23 16:31 作者: Comedienne 時(shí)間: 2025-3-23 18:07 作者: GUILE 時(shí)間: 2025-3-23 23:05
Improving Adaptive Boosting with a Relaxed Equation to Update the Sampling Distributionants of ., . and ., in order to build a robuster ensemble of neural networks. The mixed method called . (.) applies the conservative equation used in . along with the averaged procedure used in . in order to update the sampling distribution. We have tested the methods with seven databases from the .作者: 分離 時(shí)間: 2025-3-24 04:33
Automatic Model Selection for Probabilistic PCAat each unit. The number of units and principal directions in each unit is not learned in the original approach. Variational Bayesian approaches have been proposed for this purpose, which rely on assumptions on the input distribution and/or approximations of certain statistics. Here we present a dif作者: 出汗 時(shí)間: 2025-3-24 08:21
Probabilistic Aggregation of Classifiers for Incremental Learningssification of data. To successfully accommodate novel information without compromising previously acquired knowledge this algorithm requires an adequate strategy to determine the voting weights. Given an instance to classify, we propose to define each voting weight as the posterior probability of t作者: jaundiced 時(shí)間: 2025-3-24 12:52 作者: 挑剔為人 時(shí)間: 2025-3-24 17:51
Building Automated Negotiation Strategies Enhanced by MLP and GR Neural Networks for Opponent Agent alf of their human or corporate owners. This paper aims to enhance such agents with techniques enabling them to predict their opponents’ negotiation behaviour and thus achieve more profitable results and better resource utilization. The proposed learning techniques are based on MLP and GR neural net作者: mercenary 時(shí)間: 2025-3-24 22:50 作者: overwrought 時(shí)間: 2025-3-25 00:23
An Efficient VAD Based on a Hang-Over Scheme and a Likelihood Ratio Testlassification error as the number of observations is increased. The algorithm is also compared to different VAD methods including the G.729, AMR and AFE standards, as well as recently reported algorithms showing a sustained advantage in speech/non-speech detection accuracy and speech recognition per作者: Accord 時(shí)間: 2025-3-25 05:54 作者: 泥土謙卑 時(shí)間: 2025-3-25 08:51 作者: 礦石 時(shí)間: 2025-3-25 12:18
A Study on the Use of Statistical Tests for Experimentation with Neural Networks study of the non-parametric tests use is presented, using some well-known models of neural networks. The results show the need of using non-parametric statistic, because the Artificial Neural Networks used do not verify the hypothesis required for classical parametric tests.作者: FOIL 時(shí)間: 2025-3-25 18:52 作者: 聚集 時(shí)間: 2025-3-26 00:01 作者: 編輯才信任 時(shí)間: 2025-3-26 02:14 作者: 鴕鳥 時(shí)間: 2025-3-26 04:18 作者: WITH 時(shí)間: 2025-3-26 11:22 作者: Cardioplegia 時(shí)間: 2025-3-26 14:28
On a Path to Nonlinear Quantum Mechanics,are consistent with the global properties of the associated optimization problem can be drawn. The procedure is based on the Fokker – Planck equation, which is a linear differential equation for the density. The algorithm is constructed in such a way that only involves linear operations and a relati作者: Preserve 時(shí)間: 2025-3-26 16:47
https://doi.org/10.1007/978-1-4615-5921-4ning dynamics”, in fact the sequential (discrete time) dynamics of the choice of synaptic weights. The second one is the intrinsic dynamics of the neural network viewed as a dynamical system after the weights have been established . learning. The paper deals with the second kind of dynamics. Since t作者: 配偶 時(shí)間: 2025-3-27 00:58
P. Kramer,Z. Papadopolos,D. Zeidlere preprocessing procedures, namely Principle Component Analysis (PCA), Independent Component Analysis (ICA) and class-conditional ICA, for Na?ve Bayes classifier. It is found that all the three procedures keep improving the performance of the Na?ve Bayes classifier with the increase of the number of作者: 高射炮 時(shí)間: 2025-3-27 03:41
Symmetries of Icosahedral Quasicrystals,xcitatory unit E and an inhibitory unit I is studied. The membrane potential of the neuron A is described by a jump diffusion model. Several types of interspike interval distributions of the excitatory strong inputs are considered as Poissonian inhibitory inputs increase intensity. It is shown that,作者: 該得 時(shí)間: 2025-3-27 07:25 作者: 移動(dòng) 時(shí)間: 2025-3-27 12:54
Joseph N. Ginocchio,Amiram Leviatannications and signal processing applications for implementing on-line Principal Component Analysis (PCA). Different improvements over the original Oja model have been developed in the last two decades. Among them, models with lateral weights have been designed to directly provide the eigenvectors of作者: interpose 時(shí)間: 2025-3-27 15:57 作者: 帶來的感覺 時(shí)間: 2025-3-27 19:44 作者: Tempor 時(shí)間: 2025-3-28 00:49
Nonlinear Quantum Mechanics and Locality, modelling. In this paper, we show that the problem can be formulated in a general supervised learning context. Emphasis is on two widely used non-parametric techniques known as the Delta test and the Gamma test. Under some regularity assumptions, a novel proof of convergence of the two estimators i作者: Minikin 時(shí)間: 2025-3-28 05:29 作者: 賠償 時(shí)間: 2025-3-28 08:55
Two-Photon Interactions in Cavity QED,on (EC) tools is compared with the traditional evolutionary techniques used for ANN development. The technique used here is based on network encoding on graphs and also their performance and evolution. For this comparison, 2 different real-world problems have been solved using various tools, and the作者: 發(fā)生 時(shí)間: 2025-3-28 13:29
Two-Photon Interactions in Cavity QED,able performance and build very inaccurate models. In this paper new, robust to outliers, learning algorithm based on the Least Trimmed Squares (LTS) estimator is proposed. The LTS learning algorithm is simultaneously the first robust learning algorithm that takes into account not only gross errors 作者: 遺產(chǎn) 時(shí)間: 2025-3-28 14:41
Seeing Science through Symmetry,optimization) and . (short-term optimization). .??. algorithm is a method using near-greedy action selection rule. It behaves greedily (.) most of the time, but every once in a while, say with small probability . (.), instead select an action at random. Many works already proved that random explorat作者: Etching 時(shí)間: 2025-3-28 21:38
https://doi.org/10.1007/BFb0109644ants of ., . and ., in order to build a robuster ensemble of neural networks. The mixed method called . (.) applies the conservative equation used in . along with the averaged procedure used in . in order to update the sampling distribution. We have tested the methods with seven databases from the .作者: 大門在匯總 時(shí)間: 2025-3-29 02:06 作者: 詞匯表 時(shí)間: 2025-3-29 06:55 作者: TRUST 時(shí)間: 2025-3-29 10:58
https://doi.org/10.1007/978-3-642-14828-6 of similarity to compare classifiers is based on their behaviour. This clustering algorithm has been applied to document enhancement: A set of neural filters is trained with multilayer perceptrons for different types of noise and then clustered into groups to obtain a reduced set of neural clustere作者: crutch 時(shí)間: 2025-3-29 14:00 作者: 標(biāo)準(zhǔn) 時(shí)間: 2025-3-29 16:14 作者: insidious 時(shí)間: 2025-3-29 20:09 作者: exquisite 時(shí)間: 2025-3-30 03:26 作者: Pituitary-Gland 時(shí)間: 2025-3-30 06:48 作者: 葡萄糖 時(shí)間: 2025-3-30 11:36 作者: 連詞 時(shí)間: 2025-3-30 15:56
Symmetries of Icosahedral Quasicrystals,interspike interval distributions of the excitatory strong inputs are considered as Poissonian inhibitory inputs increase intensity. It is shown that, independently of the distribution of the excitatory inpu, they are more efficiently transmitted as inhibition increases to larger intensities.作者: Notorious 時(shí)間: 2025-3-30 19:38 作者: 使服水土 時(shí)間: 2025-3-30 22:04
Two-Photon Interactions in Cavity QED,on graphs and also their performance and evolution. For this comparison, 2 different real-world problems have been solved using various tools, and the results are presented here. According to them, the results obtained with this technique can beat those obtained with other ANN development tools.作者: disrupt 時(shí)間: 2025-3-31 04:10
Two-Photon Interactions in Cavity QED,estimator is proposed. The LTS learning algorithm is simultaneously the first robust learning algorithm that takes into account not only gross errors but also leverage data points. Results of simulations of networks trained with the new algorithm are presented and the robustness against outliers is demonstrated.作者: Ingredient 時(shí)間: 2025-3-31 08:39 作者: Obligatory 時(shí)間: 2025-3-31 13:01
https://doi.org/10.1007/978-3-642-14828-6 filters is trained with multilayer perceptrons for different types of noise and then clustered into groups to obtain a reduced set of neural clustered filters. In order to automatically determine which clustered filter is the most suitable to clean and enhance a real noisy image, an image classifier is also trained using multilayer perceptrons.作者: 山頂可休息 時(shí)間: 2025-3-31 16:30
Generating Random Deviates Consistent with the Long Term Behavior of Stochastic Search Processes in which is a linear differential equation for the density. The algorithm is constructed in such a way that only involves linear operations and a relatively small number of evaluations of the given cost function.作者: 多產(chǎn)子 時(shí)間: 2025-3-31 19:35
A Comparative Study of PCA, ICA and Class-Conditional ICA for Na?ve Bayes Classifier classifier. It is found that all the three procedures keep improving the performance of the Na?ve Bayes classifier with the increase of the number of attributes. Although class-conditional ICA has been found to be superior to PCA and ICA in most cases, it may not be suitable for the case where the sample size for each class is not large enough.作者: 密切關(guān)系 時(shí)間: 2025-3-31 23:29
Effect of Increasing Inhibitory Inputs on Information Processing Within a Small Network of Spiking Ninterspike interval distributions of the excitatory strong inputs are considered as Poissonian inhibitory inputs increase intensity. It is shown that, independently of the distribution of the excitatory inpu, they are more efficiently transmitted as inhibition increases to larger intensities.作者: 不透氣 時(shí)間: 2025-4-1 04:34
Non-parametric Residual Variance Estimation in Supervised Learningametric techniques known as the Delta test and the Gamma test. Under some regularity assumptions, a novel proof of convergence of the two estimators is formulated and subsequently verified and compared on two meaningful study cases.作者: Talkative 時(shí)間: 2025-4-1 08:47 作者: 突變 時(shí)間: 2025-4-1 12:08 作者: 冥界三河 時(shí)間: 2025-4-1 17:16 作者: STALE 時(shí)間: 2025-4-1 19:05 作者: Constrain 時(shí)間: 2025-4-2 02:37
Conference proceedings 2007rtificial Neural Networks”). This biennial meeting focuses on the foundations, theory, models and applications of systems inspired by nature (neural networks, fuzzy logic and evo- tionary systems). Since the first edition of IWANN in Granada (LNCS 540, 1991), the computational intelligence community
