標(biāo)題: Titlebook: Neural Information Processing; 22nd International C Sabri Arik,Tingwen Huang,Qingshan Liu Conference proceedings 2015 Springer Internationa [打印本頁(yè)] 作者: hector 時(shí)間: 2025-3-21 18:00
書(shū)目名稱(chēng)Neural Information Processing影響因子(影響力)
書(shū)目名稱(chēng)Neural Information Processing影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)Neural Information Processing網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱(chēng)Neural Information Processing網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)Neural Information Processing被引頻次
書(shū)目名稱(chēng)Neural Information Processing被引頻次學(xué)科排名
書(shū)目名稱(chēng)Neural Information Processing年度引用
書(shū)目名稱(chēng)Neural Information Processing年度引用學(xué)科排名
書(shū)目名稱(chēng)Neural Information Processing讀者反饋
書(shū)目名稱(chēng)Neural Information Processing讀者反饋學(xué)科排名
作者: 拍下盜公款 時(shí)間: 2025-3-21 21:00
Robust Ensemble Classifier Combination Based on Noise Removal with One-Class SVM,et partition to increment classifier model performance. We applied Gini impurity approach to find the best split percentage of noise filter ratio. The filtered sub data set is then used to train individual ensemble models.作者: 錯(cuò)事 時(shí)間: 2025-3-22 02:09
Weighted ANN Input Layer for Adaptive Features Selection for Robust Fault Classification,lue vector. Different instances of ANN are then trained and tested to calculate F1_score with the reduced dominant features at different SNRs for each threshold value. Trained ANN with best average classification accuracy among all ANN instances gives us required number of dominant features.作者: 陶瓷 時(shí)間: 2025-3-22 08:05
Neural Network with Evolutionary Algorithm for Packet Matching,ative procedure. Data experiments show that this new algorithm effectively improves the performance of packet matching compared with the classical algorithms. And it can completely solve the problem of large-scale rule packet matching.作者: 慷慨援助 時(shí)間: 2025-3-22 10:41
A Parallel Sensitive Area Selection-Based Particle Swarm Optimization Algorithm for Fast Solving CNate the validity, we take Zebiak-Cane (ZC) numerical model as a case. Experimental results show that the proposed method can obtain a better CNOP more efficiently than SAEP [.] and PCAGA [.] which are two latest researches on intelligent algorithms for solving CNOP.作者: 阻塞 時(shí)間: 2025-3-22 16:22
Semi-supervised Non-negative Local Coordinate Factorization,led examples to be the class indicator. Benefit from the labeled data, SNLCF can boost NMF in clustering the unlabeled data. Experimental results on UCI datasets and two popular face image datasets suggest that SNLCF outperforms the representative methods in terms of both average accuracy and average normalized mutual information.作者: 隱士 時(shí)間: 2025-3-22 19:38 作者: 連詞 時(shí)間: 2025-3-22 21:55
Trading Optimally Diversified Portfolios in Emerging Markets with Neuro-Particle Swarm Optimisationo diversity) and that in the case of emerging markets the optimal value for this parameter may be different to the standard investment industry recommendation. Learning is then extended to include this parameter, with out-of-sample testing demonstrating very promising results.作者: 現(xiàn)存 時(shí)間: 2025-3-23 03:06 作者: fructose 時(shí)間: 2025-3-23 09:27 作者: cunning 時(shí)間: 2025-3-23 12:24
0302-9743 tion Systems;Artificial Intelligence and Neural Networks: Theory, Design, and Applications;Image and Signal Processing; and Intelligent Social Networks..978-3-319-26534-6978-3-319-26535-3Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Neonatal 時(shí)間: 2025-3-23 16:08 作者: 變化無(wú)常 時(shí)間: 2025-3-23 18:34
Motor Imagery Task Classification Using a Signal-Dependent Orthogonal Transform Based Feature Extra widely used linear transform for feature extraction methods, namely discrete cosine transform (DCT) and adaptive autoregressive (AAR). By achieving an accuracy of 67.35?%, the LP-SVD based method outperformed the other two by large margins (+25?% compared to DCT and +6?% compared to AAR-based methods).作者: synovitis 時(shí)間: 2025-3-24 00:52
Recent Advances in Improving the Memory Efficiency of the TRIBE MCL Algorithm,. The algorithm needs 10–20?% less time for processing the same data sizes than previous efficient Markov clustering algorithms, without losing anything from the partition quality. The proposed solution is open for further improvement via parallel data processing.作者: 本能 時(shí)間: 2025-3-24 04:09 作者: Granular 時(shí)間: 2025-3-24 07:23
Non-negative Spectral Learning for Linear Sequential Systems,e a non-negative spectral algorithm (NNSpectral) avoiding computing negative probabilities by design. NNSpectral is compared to other MoM-based algorithms and EM on synthetic problems of the PAutomaC challenge. Not only, NNSpectral outperforms other MoM-based algorithms, but also, achieves very competitive results in comparison to EM.作者: Fabric 時(shí)間: 2025-3-24 14:13
A Survey of Applying Machine Learning Techniques for Credit Rating: Existing Models and Open Issuesproval data sets. Based on a systematic review of literatures, we further compare and discuss about the performance of existing models. In addition, we identified and illustrated the limitations of existing works and discuss about some open issues that could benefit future research in this area.作者: ALT 時(shí)間: 2025-3-24 16:15 作者: Guaff豪情痛飲 時(shí)間: 2025-3-24 19:55 作者: Pantry 時(shí)間: 2025-3-25 00:56
Mostefa Mesbah,Aida Khorshidtalab,Hamza Baali,Ahmed Al-Anibar.Ausführliche Konzepte mit vielen Bildern.Bestens geeigne.Die arbeitsteilige Entwicklung gro?er Softwaresysteme erfordert in zunehmendem Ma?e analytische und darstellerische F?higkeiten. Insbesondere technische Entscheidungstr?ger wie der Systemarchitekt müssen Systeme als Ganzes und auf konzepti作者: 傾聽(tīng) 時(shí)間: 2025-3-25 04:15
Ferhat ?zgür ?atakbar.Ausführliche Konzepte mit vielen Bildern.Bestens geeigne.Die arbeitsteilige Entwicklung gro?er Softwaresysteme erfordert in zunehmendem Ma?e analytische und darstellerische F?higkeiten. Insbesondere technische Entscheidungstr?ger wie der Systemarchitekt müssen Systeme als Ganzes und auf konzepti作者: 鼓掌 時(shí)間: 2025-3-25 10:17 作者: 管理員 時(shí)間: 2025-3-25 12:24
László Szilágyi,Lajos Loránd Nagy,Sándor Miklós Szilágyibar.Ausführliche Konzepte mit vielen Bildern.Bestens geeigne.Die arbeitsteilige Entwicklung gro?er Softwaresysteme erfordert in zunehmendem Ma?e analytische und darstellerische F?higkeiten. Insbesondere technische Entscheidungstr?ger wie der Systemarchitekt müssen Systeme als Ganzes und auf konzepti作者: Climate 時(shí)間: 2025-3-25 19:43
Muhammad Amar,Iqbal Gondal,Campbell Wilsonbar.Ausführliche Konzepte mit vielen Bildern.Bestens geeigne.Die arbeitsteilige Entwicklung gro?er Softwaresysteme erfordert in zunehmendem Ma?e analytische und darstellerische F?higkeiten. Insbesondere technische Entscheidungstr?ger wie der Systemarchitekt müssen Systeme als Ganzes und auf konzepti作者: 導(dǎo)師 時(shí)間: 2025-3-25 22:36
Zelin Wang,Zhijian Wu,Xinyu Zhou,Ruimin Wang,Peng Shaobar.Ausführliche Konzepte mit vielen Bildern.Bestens geeigne.Die arbeitsteilige Entwicklung gro?er Softwaresysteme erfordert in zunehmendem Ma?e analytische und darstellerische F?higkeiten. Insbesondere technische Entscheidungstr?ger wie der Systemarchitekt müssen Systeme als Ganzes und auf konzepti作者: forebear 時(shí)間: 2025-3-26 00:56
Pascal Khoury,Denise Gorsebar.Ausführliche Konzepte mit vielen Bildern.Bestens geeigne.Die arbeitsteilige Entwicklung gro?er Softwaresysteme erfordert in zunehmendem Ma?e analytische und darstellerische F?higkeiten. Insbesondere technische Entscheidungstr?ger wie der Systemarchitekt müssen Systeme als Ganzes und auf konzepti作者: Fatten 時(shí)間: 2025-3-26 04:26 作者: epicardium 時(shí)間: 2025-3-26 09:45 作者: 過(guò)份 時(shí)間: 2025-3-26 14:30 作者: 阻止 時(shí)間: 2025-3-26 16:55 作者: Substance 時(shí)間: 2025-3-26 21:32
Mir Md. Jahangir Kabir,Shuxiang Xu,Byeong Ho Kang,Zongyuan Zhaobar.Ausführliche Konzepte mit vielen Bildern.Bestens geeigne.Die arbeitsteilige Entwicklung gro?er Softwaresysteme erfordert in zunehmendem Ma?e analytische und darstellerische F?higkeiten. Insbesondere technische Entscheidungstr?ger wie der Systemarchitekt müssen Systeme als Ganzes und auf konzepti作者: osteopath 時(shí)間: 2025-3-27 05:07
Cherong Zhou,Xiang Zhang,Naiyang Guan,Xuhui Huang,Zhigang Luobar.Ausführliche Konzepte mit vielen Bildern.Bestens geeigne.Die arbeitsteilige Entwicklung gro?er Softwaresysteme erfordert in zunehmendem Ma?e analytische und darstellerische F?higkeiten. Insbesondere technische Entscheidungstr?ger wie der Systemarchitekt müssen Systeme als Ganzes und auf konzepti作者: 險(xiǎn)代理人 時(shí)間: 2025-3-27 06:47
Tusher Kumer Sarker,Maolin Tangm so die Struktur eines Softwaresystems vor ihrer Detailrealisierung festzulegen. Die Softwarearchitektur enth?lt alle Grundlagen für Qualit?tseigenschaften des sp?ter entstehenden Softwaresystems, insbesondere für Wartbarkeit. Auf dieser Betrachtungsebene finden ferner alle substantiellen überlegun作者: Allege 時(shí)間: 2025-3-27 12:34 作者: 形容詞詞尾 時(shí)間: 2025-3-27 16:28
Timothé Collet,Olivier Pietquinugekommen, insbesondere für Objektorientierung und Nebenl?ufigkeit. Ada entstand aus einer Initiative des Verteidigungsministeriums der USA (Department of Defense, DoD). Neben dem speziellen Anwendungsbereich Realzeitsysteme/eingebettete Systeme wer- den verschiedene andere Anwendungsbereiche durch 作者: Filibuster 時(shí)間: 2025-3-27 18:25 作者: Diaphragm 時(shí)間: 2025-3-28 00:28 作者: intellect 時(shí)間: 2025-3-28 04:30
Robust Ensemble Classifier Combination Based on Noise Removal with One-Class SVM,nput data set is not fit in a memory in training phase of the algorithm, therefore, it is necessary to utilize data partitioning to handle overall data set. Bagging and boosting based data partitioning methods have been broadly used in data mining and pattern recognition area. Both of these methods 作者: Physiatrist 時(shí)間: 2025-3-28 07:14 作者: 使害羞 時(shí)間: 2025-3-28 12:19
Recent Advances in Improving the Memory Efficiency of the TRIBE MCL Algorithm,ence data sets using an ordinary PC. Improvements compared to previous versions are achieved through adequately chosen data structures that facilitate the efficient handling of symmetric sparse matrices. The proposed algorithm was tested on huge synthetic protein sequence data sets. The validation p作者: 膠水 時(shí)間: 2025-3-28 18:07
Weighted ANN Input Layer for Adaptive Features Selection for Robust Fault Classification,e to model all faults under different operating environments. In this paper, feedforward ANN input-layer-weights have been used for the adaptive selection of the least number of features, without fault model information, reducing the computations significantly but assuring the required accuracy by m作者: Serenity 時(shí)間: 2025-3-28 22:19 作者: 同步左右 時(shí)間: 2025-3-29 01:41
Trading Optimally Diversified Portfolios in Emerging Markets with Neuro-Particle Swarm Optimisationdustry sectors. Here, a more flexible model is developed that is effective across a wide range of sectors. It is discovered there is a strong dependence of the quality of returns on the minimum number of trades allowed within a given time period (a risk-minimisation measure used to maintain portfoli作者: Macronutrients 時(shí)間: 2025-3-29 06:20 作者: 描繪 時(shí)間: 2025-3-29 08:51 作者: ungainly 時(shí)間: 2025-3-29 15:14 作者: 低能兒 時(shí)間: 2025-3-29 19:38 作者: Valves 時(shí)間: 2025-3-29 22:24 作者: Jargon 時(shí)間: 2025-3-30 01:45 作者: Madrigal 時(shí)間: 2025-3-30 05:43 作者: 煩人 時(shí)間: 2025-3-30 12:07 作者: 天空 時(shí)間: 2025-3-30 13:20 作者: 縮減了 時(shí)間: 2025-3-30 19:54 作者: 充滿(mǎn)人 時(shí)間: 2025-3-31 00:09
Optimism in Active Learning with Gaussian Processes,initially unknown. Online estimation of this distribution, for the purpose of minimizing the error, involves a trade-off between exploration and exploitation. This is a common problem in machine learning for which multi-armed bandit theory, building upon the paradigm of Optimism in the Face of Uncer作者: Corral 時(shí)間: 2025-3-31 01:18 作者: Between 時(shí)間: 2025-3-31 07:49 作者: calorie 時(shí)間: 2025-3-31 10:21
Neural Information Processing978-3-319-26535-3Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: extinguish 時(shí)間: 2025-3-31 15:04 作者: Crayon 時(shí)間: 2025-3-31 17:37 作者: lattice 時(shí)間: 2025-3-31 23:22
Soil Property Prediction: An Extreme Learning Machine Approach,hose samples. Our method is based on Savitzky-Golay filter for preprocessing and a relatively recent evolution of single hidden-layer feed-forward network (SLFN) learning technique called extreme learning machine (ELM) for prediction. We tested our method with Africa Soil Property Prediction dataset, and observed that the results were promising.
