派博傳思國(guó)際中心

標(biāo)題: Titlebook: Neural Information Processing; 21st International C Chu Kiong Loo,Keem Siah Yap,Kaizhu Huang Conference proceedings 2014 Springer Internati [打印本頁(yè)]

作者: 萬(wàn)圣節(jié)    時(shí)間: 2025-3-21 19:24
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: 數(shù)量    時(shí)間: 2025-3-21 23:14
Neural Information Processing978-3-319-12640-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
作者: FAZE    時(shí)間: 2025-3-22 00:39
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/n/image/663571.jpg
作者: 觀察    時(shí)間: 2025-3-22 06:06
https://doi.org/10.1007/978-3-319-12640-1activity recognition; artificial intelligence; big data; bio-inspired computing; brain-computer interfac
作者: HEDGE    時(shí)間: 2025-3-22 10:23
Non-negative Matrix Factorization with Schatten p-norms Reguralizationlarization terms were previously added to the NMF objective function in order to produce sparser results and thus to obtain a more qualitative partition of data. We would like to propose the general framework for regularized NMF based on Schatten p-norms. Experimental results show the effectiveness of our approach on different data sets.
作者: GIST    時(shí)間: 2025-3-22 14:51
A New Energy Model for the Hidden Markov Random Fieldsood energy function of the Hidden Markov Random Fields model based on the Hidden Markov Model formalism. With this new energy model, we aim at (1) avoiding the use of a key parameter chosen empirically on which the results of the current models are heavily relying, (2) proposing an information rich modelisation of neighborhood relationships.
作者: 合唱隊(duì)    時(shí)間: 2025-3-22 21:01
Graph Kernels Exploiting Weisfeiler-Lehman Graph Isomorphism Test Extensionsing phase of the nodes based on test-specific information extracted from the graph, for example the set of neighbours of a node. We defined a novel relabelling and derived two kernels of the framework from it. The novel kernels are very fast to compute and achieve state-of-the-art results on five real-world datasets.
作者: Polydipsia    時(shí)間: 2025-3-22 22:59
A New Ensemble Clustering Method Based on Dempster-Shafer Evidence Theory and Gaussian Mixture Modelsults from single clustering methods. We introduce the GMM technique to determine the confidence values for candidate results from each clustering method. Then we employ the DS theory to combine the evidences supplied by different clustering methods, based on which the final result is obtained. We t
作者: Creatinine-Test    時(shí)間: 2025-3-23 03:46
Extraction of Dimension Reduced Features from Empirical Kernel Vectorping to make the trained classifier by using the linear SVM with the extracted feature vectors equivalent to the one obtained by the standard kernel SVM. The proposed feature extraction mapping is defined by using the eigen values and eigen vectors of the Gram matrix. Since the eigen vector problem
作者: 疲憊的老馬    時(shí)間: 2025-3-23 09:29
Method of Evolving Non-stationary Multiple Kernel Learningimal mapping model in a large high-dimensional feature space. However, it is not suitable to compute the composite kernel in a stationary way for all samples. In this paper, we propose a method of evolving non-stationary multiple kernel learning, in which base kernels are encoded as tree kernels and
作者: 擔(dān)憂    時(shí)間: 2025-3-23 10:24
A Kernel Method to Extract Common Features Based on Mutual Informationetween nonlinear mappings of the data. However, the kernel CCA tends to obtain the features that have only small information of original multivariates in spite of their high correlation, because it considers only statistics of the extracted features and the nonlinear mappings have high degree of fre
作者: acquisition    時(shí)間: 2025-3-23 17:47

作者: flamboyant    時(shí)間: 2025-3-23 20:57

作者: 性學(xué)院    時(shí)間: 2025-3-23 22:12
Non-negative Matrix Factorization with Schatten p-norms Reguralizationlarization terms were previously added to the NMF objective function in order to produce sparser results and thus to obtain a more qualitative partition of data. We would like to propose the general framework for regularized NMF based on Schatten p-norms. Experimental results show the effectiveness
作者: 遍及    時(shí)間: 2025-3-24 02:33
A New Energy Model for the Hidden Markov Random Fieldsood energy function of the Hidden Markov Random Fields model based on the Hidden Markov Model formalism. With this new energy model, we aim at (1) avoiding the use of a key parameter chosen empirically on which the results of the current models are heavily relying, (2) proposing an information rich
作者: INCH    時(shí)間: 2025-3-24 09:54

作者: 貪婪的人    時(shí)間: 2025-3-24 11:10
A Computational Model of Anti-Bayesian Sensory Integration in the Size-Weight Illusionhe SWI refers to the fact that people judge the smaller of two equally weighted objects to heavier when lifted. Many aspects of human perceptual and motor behavior can be modeled with Bayesian statistics. However, the SWI cannot be explained on the basis of Bayesian integration, and the nervous syst
作者: Valves    時(shí)間: 2025-3-24 17:26
Unsupervised Dimensionality Reduction for Gaussian Mixture Modelodel (GMM), a famous model, has been widely used in various applications, e.g., clustering and classification. For high-dimensional data, previous research usually performs dimensionality reduction first, and then inputs the reduced features to other available models, e.g., GMM. In particular, there
作者: 緯線    時(shí)間: 2025-3-24 19:09
Graph Kernels Exploiting Weisfeiler-Lehman Graph Isomorphism Test Extensionsing phase of the nodes based on test-specific information extracted from the graph, for example the set of neighbours of a node. We defined a novel relabelling and derived two kernels of the framework from it. The novel kernels are very fast to compute and achieve state-of-the-art results on five re
作者: gnarled    時(shí)間: 2025-3-24 23:09
Texture Analysis Based Automated Decision Support System for Classification of Skin Cancer Using SA-cal decision support system aimed to save lives, time and resources in the early diagnostic process. Segmentation, feature extraction, and lesion classification are the important steps in the proposed system. The system analyses the images to extract the affected area using a novel proposed segmenta
作者: 狼群    時(shí)間: 2025-3-25 05:25

作者: Intuitive    時(shí)間: 2025-3-25 10:28

作者: Esophagitis    時(shí)間: 2025-3-25 14:31
Fine-Grained Air Quality Monitoring Based on Gaussian Process Regressioneas. Existing softwares that report the level of .. can provide only the value in the city level, which may indeed varies greatly among different areas in the city. To help people know about the exact air quality around them, we deployed 51 carefully designed devices to measure the .. at these place
作者: Little    時(shí)間: 2025-3-25 19:51

作者: 無(wú)情    時(shí)間: 2025-3-25 21:45
A New Approach of Diversity Enhanced Particle Swarm Optimization with Neighborhood Search and Adapti, PSO also has a few drawbacks such as premature convergence and low convergence speed, especially on complex problem. In this paper, we present a new approach called AMPSONS in which neighborhood search, diversity mechanism and adaptive mutation were utilized. Experimental results obtained from a t
作者: 泛濫    時(shí)間: 2025-3-26 01:09

作者: patella    時(shí)間: 2025-3-26 08:02
se areas, there are often situations in which we are given a?set of configurations and a?property of interest with the goal of computing all the configurations for which the property is valid. Checking the validity of each single configuration may be a?costly process. We are thus interested in reduc
作者: 隱藏    時(shí)間: 2025-3-26 12:13
Yi Wu,Xiabi Liu,Lunhao Guose areas, there are often situations in which we are given a?set of configurations and a?property of interest with the goal of computing all the configurations for which the property is valid. Checking the validity of each single configuration may be a?costly process. We are thus interested in reduc
作者: Console    時(shí)間: 2025-3-26 16:02
Takio Kurita,Yayoi Harashimaearch to define real-number intelligence levels of complicated intelligent systems. Our agents are more idealized, which allows us to define a much simpler measure of intelligence level for them. In short, we define the intelligence level of a mechanical knowing agent to be the supremum of the compu
作者: 本土    時(shí)間: 2025-3-26 20:07
Peng Wu,Qian Yin,Ping Guoearch to define real-number intelligence levels of complicated intelligent systems. Our agents are more idealized, which allows us to define a much simpler measure of intelligence level for them. In short, we define the intelligence level of a mechanical knowing agent to be the supremum of the compu
作者: 事物的方面    時(shí)間: 2025-3-26 22:17
Takamitsu Araki,Hideitsu Hino,Shotaro Akahoearch to define real-number intelligence levels of complicated intelligent systems. Our agents are more idealized, which allows us to define a much simpler measure of intelligence level for them. In short, we define the intelligence level of a mechanical knowing agent to be the supremum of the compu
作者: slipped-disk    時(shí)間: 2025-3-27 02:47
Shuichi Kurogi,Takuya Ueki,Satoshi Takeguchi,Yuta Mizobeearch to define real-number intelligence levels of complicated intelligent systems. Our agents are more idealized, which allows us to define a much simpler measure of intelligence level for them. In short, we define the intelligence level of a mechanical knowing agent to be the supremum of the compu
作者: 野蠻    時(shí)間: 2025-3-27 07:17

作者: 種植,培養(yǎng)    時(shí)間: 2025-3-27 12:11

作者: META    時(shí)間: 2025-3-27 14:24

作者: CYN    時(shí)間: 2025-3-27 18:16
Hong Ji,Badong Chen,Zejian Yuan,Nanning Zheng,Andreas Keil,Jose C. Príncipeinformation flow (QIF) analyses quantify the amount of knowledge an attacker can gain on the secrets by observing the outputs. This paper presents a novel approach for calculating an upper bound for the leakage of confidential information in a program regarding min-entropy. The approach uses a data
作者: 抗生素    時(shí)間: 2025-3-27 22:49
Yuki Ueyamaualitative properties, for example whether an intention completes. BDI-based systems, however, operate in uncertain environments with dynamic behaviours: we may need quantitative analysis to establish properties such as the probability of eventually completing an intention. We define a probabilistic
作者: HALL    時(shí)間: 2025-3-28 02:46
Xi Yang,Kaizhu Huang,Rui Zhangualitative properties, for example whether an intention completes. BDI-based systems, however, operate in uncertain environments with dynamic behaviours: we may need quantitative analysis to establish properties such as the probability of eventually completing an intention. We define a probabilistic
作者: 障礙    時(shí)間: 2025-3-28 10:02

作者: 全國(guó)性    時(shí)間: 2025-3-28 14:12

作者: 失眠癥    時(shí)間: 2025-3-28 16:42
Hyunrae Jo,Minho Lee obtain or is not available. In the absence of a model, i.e., black-box systems, RV techniques evaluate a property on the execution path of the system and reach a verdict that the current state of the system satisfies or violates a given property. In this paper, we introduce ., a predictive runtime
作者: 鴕鳥(niǎo)    時(shí)間: 2025-3-28 22:29

作者: 沖擊力    時(shí)間: 2025-3-29 00:58
Yun Cheng,Xiucheng Li,Zhijun Li,Shouxu Jiang,Xiaofan Jiang obtain or is not available. In the absence of a model, i.e., black-box systems, RV techniques evaluate a property on the execution path of the system and reach a verdict that the current state of the system satisfies or violates a given property. In this paper, we introduce ., a predictive runtime
作者: emulsify    時(shí)間: 2025-3-29 06:19

作者: narcotic    時(shí)間: 2025-3-29 08:30
Dang Cong Tran,Zhijian Wu,Hui Wangounterexample, which is a sequence of actions leading to a state where the property is not satisfied. Understanding this counterexample for debugging the specification is a complicated task because the developer has to understand by manual analysis all the steps (possibly many) that have provoked th
作者: Substitution    時(shí)間: 2025-3-29 12:13
Dang Cong Tran,Zhijian Wu much insight to the user. Minimal Inductive Validity Cores (MIVCs) trace a property to a minimal set of model elements necessary for constructing a proof, and can help to explain why a property is true of a model. In addition, the traceability information provided by MIVCs can be used to perform a
作者: 阻礙    時(shí)間: 2025-3-29 17:03
A Kernel Method to Extract Common Features Based on Mutual Informationtion related to the multivariate. We maximize the objective function by using the Parallel Tempering MCMC in order to overcome a local maximum problem. We show the effectiveness of the proposed method via numerical experiments.
作者: 完整    時(shí)間: 2025-3-29 22:00

作者: 膝蓋    時(shí)間: 2025-3-30 01:55

作者: Abominate    時(shí)間: 2025-3-30 05:08

作者: 忙碌    時(shí)間: 2025-3-30 08:16

作者: CIS    時(shí)間: 2025-3-30 15:45
Peng Wu,Qian Yin,Ping Guothat our notion correctly captures intelligence). As an application, we argue that these results comprise evidence against the possibility of intelligence explosion (that is, the notion that sufficiently intelligent machines will eventually be capable of designing even more intelligent machines, whi
作者: Herbivorous    時(shí)間: 2025-3-30 18:48
Takamitsu Araki,Hideitsu Hino,Shotaro Akahothat our notion correctly captures intelligence). As an application, we argue that these results comprise evidence against the possibility of intelligence explosion (that is, the notion that sufficiently intelligent machines will eventually be capable of designing even more intelligent machines, whi
作者: 挫敗    時(shí)間: 2025-3-31 00:35

作者: enterprise    時(shí)間: 2025-3-31 02:27

作者: 獸群    時(shí)間: 2025-3-31 05:06
Ievgen Redko,Younès Bennani(. ordered or fixed schedules) and evaluating probabilistic action executions in a smart manufacturing scenario. The results show we can improve significantly the probability of intention completion, with appropriate probabilistic distribution. We also show the impact of probabilistic action outcome
作者: 永久    時(shí)間: 2025-3-31 10:22
Jérémie Sublime,Antoine Cornuéjols,Younès Bennani(. ordered or fixed schedules) and evaluating probabilistic action executions in a smart manufacturing scenario. The results show we can improve significantly the probability of intention completion, with appropriate probabilistic distribution. We also show the impact of probabilistic action outcome
作者: 親密    時(shí)間: 2025-3-31 14:53

作者: antidepressant    時(shí)間: 2025-3-31 21:19
Yuki Ueyama(. ordered or fixed schedules) and evaluating probabilistic action executions in a smart manufacturing scenario. The results show we can improve significantly the probability of intention completion, with appropriate probabilistic distribution. We also show the impact of probabilistic action outcome
作者: 磨碎    時(shí)間: 2025-4-1 01:30
Xi Yang,Kaizhu Huang,Rui Zhang(. ordered or fixed schedules) and evaluating probabilistic action executions in a smart manufacturing scenario. The results show we can improve significantly the probability of intention completion, with appropriate probabilistic distribution. We also show the impact of probabilistic action outcome
作者: 否認(rèn)    時(shí)間: 2025-4-1 03:44

作者: 騙子    時(shí)間: 2025-4-1 08:05

作者: ALOFT    時(shí)間: 2025-4-1 13:56

作者: 延期    時(shí)間: 2025-4-1 15:36
Yanjun Li,Ping Guo,Xin Xinthe model. We exploit this notion of neighbourhood to highlight relevant parts of the counterexample, which makes easier its comprehension. Our approach is fully automated by a tool that we implemented and that was validated on several real-world case studies.




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