作者: 過份艷麗 時(shí)間: 2025-3-21 22:31
Image Classification with Nonnegative Matrix Factorization Based on Spectral Projected Gradient, developed for this purpose. In a majority of them, the training process is improved by using discriminant or nearest-neighbor graph-based constraints that are obtained from the knowledge on class labels of training samples. The constraints are usually incorporated to NMF algorithms by ..-weighted p作者: Irremediable 時(shí)間: 2025-3-22 03:00
Energy-Time Tradeoff in Recurrent Neural Nets,in is quite sparse (with only about 1% of neurons firing). This complexity measure has recently been introduced for feedforward architectures (i.e., threshold circuits). We shortly survey the tradeoff results which relate the energy to other complexity measures such as the size and depth of threshol作者: bronchodilator 時(shí)間: 2025-3-22 08:21 作者: 不透明 時(shí)間: 2025-3-22 09:07 作者: AVANT 時(shí)間: 2025-3-22 15:00 作者: Proponent 時(shí)間: 2025-3-22 19:36
Analysing the Multiple Timescale Recurrent Neural Network for Embodied Language Understanding,research. Recently, researchers claimed that language is embodied in most – if not all – sensory and sensorimotor modalities and that the brain’s architecture favours the emergence of language. In this chapter we investigate the characteristics of such an architecture and propose a model based on th作者: FLOAT 時(shí)間: 2025-3-22 22:20
Learning to Look and Looking to Remember: A Neural-Dynamic Embodied Model for Generation of Saccaditation in a motor signal, which moves the eye to center the target object in the field of view. Looking facilitates memory formation, bringing objects into the portion of the retinal space with a higher resolution. It also helps to align the internal representations of space with the physical enviro作者: 額外的事 時(shí)間: 2025-3-23 05:07
How to Pretrain Deep Boltzmann Machines in Two Stages,lly that it is difficult to train a DBM with approximate maximum-likelihood learning using the stochastic gradient unlike its simpler special case, restricted Boltzmann machine (RBM). In this paper, we propose a novel pretraining algorithm that consists of two stages; obtaining approximate posterior作者: Champion 時(shí)間: 2025-3-23 07:10 作者: Vasodilation 時(shí)間: 2025-3-23 10:12 作者: FILLY 時(shí)間: 2025-3-23 16:04 作者: Anecdote 時(shí)間: 2025-3-23 19:36 作者: 羽毛長(zhǎng)成 時(shí)間: 2025-3-23 23:50
Neural Networks Solution of Optimal Control Problems with Discrete Time Delays and Time-Dependent Lems with discrete time delays in state and control variables subject to control and state constraints. The optimal control problem is transcribed into nonlinear programming problem which is implemented with feed forward adaptive critic neural network to find optimal control and optimal trajectory. T作者: scoliosis 時(shí)間: 2025-3-24 03:07 作者: 云狀 時(shí)間: 2025-3-24 09:25 作者: 業(yè)余愛好者 時(shí)間: 2025-3-24 12:30 作者: 大笑 時(shí)間: 2025-3-24 17:16 作者: 無思維能力 時(shí)間: 2025-3-24 21:25
https://doi.org/10.1007/978-3-319-09903-3ANN in bioinformatics; ANN in neuroinformatics; Dynamic neural networks; Embodied models; Gesture recogn作者: Ischemia 時(shí)間: 2025-3-24 23:58
978-3-319-34950-3Springer International Publishing Switzerland 2015作者: 教唆 時(shí)間: 2025-3-25 05:39 作者: 天真 時(shí)間: 2025-3-25 07:41
Double-Layer Vector Perceptron for Binary Patterns Recognition,A new model – Double-Layer Vector Perceptron (DLVP) – is proposed. Compared with a single-layer perceptron, its operation requires slightly more computations (by 5%) and more effective computer memory, but it excels at a much lower error rate (four orders of magnitude lower). The estimate of DLVP storage capacity is obtained.作者: 讓空氣進(jìn)入 時(shí)間: 2025-3-25 14:07
https://doi.org/10.1007/978-3-322-80404-4 More precisely, we recall the results stating that interactive rational- and realweighted neural networks are Turing-equivalent and super-Turing, respectively.We further prove that interactive evolving neural networks are super-Turing, irrespective of whether their synaptic weights are modeled by r作者: BABY 時(shí)間: 2025-3-25 17:20 作者: Supplement 時(shí)間: 2025-3-25 21:28
Feministischer Diskurs und Wissenschaftin is quite sparse (with only about 1% of neurons firing). This complexity measure has recently been introduced for feedforward architectures (i.e., threshold circuits). We shortly survey the tradeoff results which relate the energy to other complexity measures such as the size and depth of threshol作者: gusher 時(shí)間: 2025-3-26 02:08 作者: prolate 時(shí)間: 2025-3-26 07:15 作者: ANIM 時(shí)間: 2025-3-26 09:16 作者: 松軟無力 時(shí)間: 2025-3-26 12:44 作者: Cubicle 時(shí)間: 2025-3-26 18:45 作者: SMART 時(shí)間: 2025-3-26 22:17
Feministische Methodologien und Methodenlly that it is difficult to train a DBM with approximate maximum-likelihood learning using the stochastic gradient unlike its simpler special case, restricted Boltzmann machine (RBM). In this paper, we propose a novel pretraining algorithm that consists of two stages; obtaining approximate posterior作者: 放肆的你 時(shí)間: 2025-3-27 02:20
,Einführung: ?Staat‘ und ?Geschlecht‘,k architectures, different derivatives calculation and optimization methods and analyze their advantages and disadvantages. We propose a novel method for training feedforward neural networks with tapped delay lines for better multi-step-ahead predictions. Special mini-batch calculations of derivativ作者: CANON 時(shí)間: 2025-3-27 09:15
https://doi.org/10.1007/978-3-663-10057-7ts with a richer environment, compactly described by the notion of constraint. Variational calculus is exploited to derive general representer theorems that give a description of the structure of the solution to the learning problem. It is shown that such solution can be represented in terms of ., w作者: 免除責(zé)任 時(shí)間: 2025-3-27 09:32
https://doi.org/10.1057/9780230592247 lot of attention lately. The basic method from this field, Policy Gradients with Parameter-based Exploration, uses two samples that are symmetric around the current hypothesis to circumvent misleading reward in . reward distributed problems gathered with the usual baseline approach. The exploration作者: Formidable 時(shí)間: 2025-3-27 15:33 作者: COMMA 時(shí)間: 2025-3-27 21:16 作者: Inexorable 時(shí)間: 2025-3-27 22:45 作者: Cytology 時(shí)間: 2025-3-28 04:38
https://doi.org/10.1057/9780230592247ultidimensional features. When used as the only regularizer, GTV can be applied jointly with iterative convex optimization algorithms such as FISTA. This requires to compute its proximal operator which we derive using a dual formulation. GTV can also be combined with a Group Lasso (GL) regularizer, 作者: Root494 時(shí)間: 2025-3-28 09:34 作者: capillaries 時(shí)間: 2025-3-28 10:35 作者: enterprise 時(shí)間: 2025-3-28 18:07 作者: Headstrong 時(shí)間: 2025-3-28 21:29
Petia Koprinkova-Hristova,Valeri Mladenov,Nikola KPresents the latest research on artificial neural networks.Gives emphasis to neural networks and machine learning topics in bio-neuroinformatics.Edited and written by experts in the field作者: Gorilla 時(shí)間: 2025-3-29 02:50
Springer Series in Bio-/Neuroinformaticshttp://image.papertrans.cn/b/image/162624.jpg作者: 起草 時(shí)間: 2025-3-29 05:38
2193-9349 tics.Edited and written by experts in the field.The book reports on the latest theories on artificial neural networks, with a special emphasis on bio-neuroinformatics methods. It includes twenty-three papers selected from among the best contributions on bio-neuroinformatics-related issues, which wer作者: Maximize 時(shí)間: 2025-3-29 08:32 作者: LAP 時(shí)間: 2025-3-29 13:02 作者: 不透明 時(shí)間: 2025-3-29 16:21 作者: JADED 時(shí)間: 2025-3-29 21:10 作者: IOTA 時(shí)間: 2025-3-30 02:54 作者: 難理解 時(shí)間: 2025-3-30 04:37 作者: 小步舞 時(shí)間: 2025-3-30 11:17
Feministische Methodologien und Methoden dynamics describing memory recall in the brain. To demonstrate the effectiveness of the proposed method, local detection of communities in synthetic benchmark networks and real social networks is examined. The community structure detected by our method is highly consistent with the correct community structure of these networks.作者: 東西 時(shí)間: 2025-3-30 14:54
https://doi.org/10.1057/9780230592247ucture is based on one-class classification paradigm. Modified SVM-base outlier detection method is verified in comparison with several classifiers, including the traditional one-class SVM. This algorithm has been tested on real flight data from the Western European and Russia. The test results are presented in the final part of the article.作者: 舊病復(fù)發(fā) 時(shí)間: 2025-3-30 20:24
Local Detection of Communities by Attractor Neural-Network Dynamics, dynamics describing memory recall in the brain. To demonstrate the effectiveness of the proposed method, local detection of communities in synthetic benchmark networks and real social networks is examined. The community structure detected by our method is highly consistent with the correct community structure of these networks.作者: 緊張過度 時(shí)間: 2025-3-30 21:53 作者: 小木槌 時(shí)間: 2025-3-31 02:29 作者: 和藹 時(shí)間: 2025-3-31 08:43
https://doi.org/10.1007/978-3-322-80404-4amework follow similar patterns of characterization. They suggest that some intrinsic computational capabilities of the brain might lie beyond the scope of Turing-equivalentmodels of computation, hence surpass the potentialities every current standard artificial models of computation.作者: 就職 時(shí)間: 2025-3-31 12:33 作者: bifurcate 時(shí)間: 2025-3-31 13:47 作者: 硬化 時(shí)間: 2025-3-31 18:17
https://doi.org/10.1007/978-3-663-10056-0tecture can learn the meaning of utterances with respect to visual perception and that it can produce verbal utterances that correctly describe previously unknown scenes. In addition we rigorously study the timescale mechanism (also known as hysteresis) and explore the impact of the architectural connectivity in the language acquisition task.作者: 嫻熟 時(shí)間: 2025-3-31 23:17 作者: MAIM 時(shí)間: 2025-4-1 02:06
Feministische Methodologien und Methodenow empirically that the proposed method overcomes the difficulty in training DBMs from randomly initialized parameters and results in a better, or comparable, generative model when compared to the conventional pretraining algorithm.作者: 松軟無力 時(shí)間: 2025-4-1 09:40 作者: 誤傳 時(shí)間: 2025-4-1 14:04
Image Classification with Nonnegative Matrix Factorization Based on Spectral Projected Gradient,s in NMF become large-scale. However, the computational problem can be considerably alleviated if the modified Spectral Projected Gradient (SPG) that belongs to a class of quasi-Newton methods is used. The simulation results presented for the selected classification problems demonstrate the high efficiency of the proposed method.作者: cognizant 時(shí)間: 2025-4-1 15:57
Learning Gestalt Formations for Oscillator Networks,o decided whether input features belong to a common group or have to be separated. The technique is evaluated within different perceptual grouping scenarios and with two kinds of artificial neural networks.作者: 搜尋 時(shí)間: 2025-4-1 20:05 作者: CBC471 時(shí)間: 2025-4-2 02:00
Learning to Look and Looking to Remember: A Neural-Dynamic Embodied Model for Generation of Saccadieneration of motor signal, adaptation of gaze shift’s amplitude, memory formation, scene exploration, and the coordinate transformations. We demonstrate the functioning of the architecture on a simulated robotic agent and provide a discussion of its implications in terms of neural-dynamic and cognitive modelling.作者: 疼死我了 時(shí)間: 2025-4-2 04:12
How to Pretrain Deep Boltzmann Machines in Two Stages,ow empirically that the proposed method overcomes the difficulty in training DBMs from randomly initialized parameters and results in a better, or comparable, generative model when compared to the conventional pretraining algorithm.作者: LAST 時(shí)間: 2025-4-2 09:24
