作者: 生存環(huán)境 時間: 2025-3-21 22:27 作者: Agronomy 時間: 2025-3-22 00:30 作者: 不合 時間: 2025-3-22 04:55 作者: Spinous-Process 時間: 2025-3-22 09:26 作者: 訓(xùn)誡 時間: 2025-3-22 15:21 作者: 訓(xùn)誡 時間: 2025-3-22 20:52 作者: 不可接觸 時間: 2025-3-22 22:47 作者: 我正派 時間: 2025-3-23 02:15 作者: perimenopause 時間: 2025-3-23 08:20
Motivation of the local approachfor three types of ensembles of linear classifiers. The tests show that these measures are better at predicting recognition accuracy than established diversity measures, such as . or disagreement measures, or entropy.作者: NAG 時間: 2025-3-23 13:06 作者: Kidnap 時間: 2025-3-23 14:36
Margin-based Diversity Measures for Ensemble Classifiersfor three types of ensembles of linear classifiers. The tests show that these measures are better at predicting recognition accuracy than established diversity measures, such as . or disagreement measures, or entropy.作者: Benzodiazepines 時間: 2025-3-23 21:04
Time Series Patterns Recognition with Genetic Algorithmsan one answer to processed data or no response at all. Early testing results, including prediction and fitting of simple time series with missing data amount ranging from 10 to 50 percent, are presented at the end of this paper.作者: resistant 時間: 2025-3-23 23:04 作者: Creditee 時間: 2025-3-24 05:07 作者: mitral-valve 時間: 2025-3-24 09:34 作者: 刀鋒 時間: 2025-3-24 11:45
Feature Extraction with Wavelet Transformation for Statistical Object Recognitione different resolutions in the training phase. Experiments made on a real data set with 42240 images show that the recognition rates are much better using the resolution combination of the wavelet transformation.作者: FLAX 時間: 2025-3-24 18:04
Some elements of potential theorye solved or circumvented either by novel and better procedures, or by a better understanding of their causes. Here, we will try to identify a number of open issues and define them as well as possible.作者: menopause 時間: 2025-3-24 21:57
Motivation of the local approachor learning in each boosting round. The new method achieves significantly better accuracy than both single FLD and FLD with boosting, with improvements reaching 6% in some cases. We show that the good performance can be attributed to higher diversity of the individual FLDs, as well as to the better generalization abilities.作者: MILL 時間: 2025-3-25 02:07 作者: 魅力 時間: 2025-3-25 06:23 作者: 豎琴 時間: 2025-3-25 08:30 作者: agitate 時間: 2025-3-25 13:57
Linear Ranked Regression - Designing Principles or later than the regarded one. A ranked regression task is aimed at designing such linear transformation of multivariate data sets on the line which preserves with the highest precision possible the ranked order. The convex and piecewise linear (CPL) criterion functions are used here for designing ranked linear models.作者: 容易做 時間: 2025-3-25 17:53
Conference proceedings 2005dzyna Castle (Poland), This conference is a continuation of a series of con- ferences on similar topics (KOSYR) organized each second year, since 1999, by the Chair of Systems and Computer Networks, Wroclaw University of Tech- nology. An increasing interest to those conferences paid not only by home作者: Engaged 時間: 2025-3-25 21:47
Neural Network-Based , Pattern Recognition — Part 2: Stability and Algorithmic Issuesated as the inputs. In this paper, we propose a new model for Pattern Recognition (PR), namely, one that involves Chaotic Neural Networks (CNNs). To achieve this, we enhance the basic model proposed by Adachi [.], referred to as . Neural Network (ACNN). Although the ACNN has been shown to be chaotic作者: Pantry 時間: 2025-3-26 00:18 作者: 浮夸 時間: 2025-3-26 06:20 作者: 思想 時間: 2025-3-26 08:34 作者: 有罪 時間: 2025-3-26 15:39 作者: antenna 時間: 2025-3-26 19:59
Boosting the Fisher Linear Discriminant with Random Feature Subsetse and widely used classifier, boosting does not lead to a significant increase in accuracy. In this paper, a new method for adapting the FLD into the boosting framework is proposed. This method, the AdaBoost-RandomFeatureSubset-FLD (AB-RFS-FLD), uses a different, randomly chosen subset of features f作者: 平庸的人或物 時間: 2025-3-26 21:34
A Look-Ahead Branch and Bound Pruning Scheme for Trie-Based Approximate String Matchingssume that . contains substitution, insertion and deletion errors, and that .* is an element of a finite (but possibly, large) dictionary, .. The best estimate .. of .*, is defined as that element of . which minimizes the Generalized Levenshtein Distance .(.) between . and . such that the total numb作者: 粗野 時間: 2025-3-27 04:29 作者: falsehood 時間: 2025-3-27 08:17 作者: Flinch 時間: 2025-3-27 12:05 作者: 花費 時間: 2025-3-27 16:24
Selection of Fuzzy-Valued Loss Function in Two Stage Binary Classifierbased on the notion of fuzzy random variable and also on a subjective ranking method for fuzzy number defined by Campos and González. The Bayesian hierarchical classifier is based on a decision-tree scheme for given tree skeleton and features to be used in each inertial nodes. The influence of selec作者: graphy 時間: 2025-3-27 19:04 作者: 危險 時間: 2025-3-27 23:24
Fast PCA and LDA for JPEG Images(Discrete Cosine Transform) domain and the results are exactly the same as the one obtained from the spatial domain. In some applications, compressed images are desirable to reduce the storage requirement. For images compressed using the DCT, e.g., in JPEG or MPEG standard, the PCA and LDA can be di作者: Ingredient 時間: 2025-3-28 02:52
A Hybrid ε-Insensitive Learning of Fuzzy Systemslving a system of linear inequalities. Then, a hybrid learning algorithm is introduced. Example is given of using this algorithm for design a fuzzy model of real ECG data. Simulation results show an improvement in the generalization ability of a fuzzy system learned by the new method with respect to作者: 不要嚴酷 時間: 2025-3-28 06:20 作者: 巨碩 時間: 2025-3-28 14:17
Feature Extraction with Wavelet Transformation for Statistical Object Recognitionwo-dimensional local feature vectors are computed directly from pixel intensities in square gray level images with the wavelet multiresolution analysis. We use three different resolution levels for the feature computation. For the first one local neighborhoods of size 8 × 8 pixels, for the second on作者: saturated-fat 時間: 2025-3-28 15:50 作者: intrude 時間: 2025-3-28 19:32
Advances in Intelligent and Soft Computinghttp://image.papertrans.cn/c/image/233707.jpg作者: DAUNT 時間: 2025-3-29 00:01 作者: 上坡 時間: 2025-3-29 03:08 作者: 無動于衷 時間: 2025-3-29 08:48
The Role of Ontological Models in Pattern Recognition a general taxonomy, and specification of some typical ontological models are presented. Examples of a simple, a composite and an extended ontological model are given. The role of ontological models in composite patterns recognition is described and illustrated by examples.作者: DEMN 時間: 2025-3-29 12:03
Current Feature Selection Techniques in Statistical Pattern Recognitionent knowledge. Besides over-viewing advances in methodology it attempts to put them into a taxonomical framework. The methods discussed include the latest variants of the Branch & Bound algorithm, enhanced sub-optimal techniques and the simultaneous semi-parametric probability density function modeling and feature space selection method.作者: 小口啜飲 時間: 2025-3-29 16:22 作者: vasculitis 時間: 2025-3-29 22:43 作者: –DOX 時間: 2025-3-30 00:48
Basic definitions and preliminaries a general taxonomy, and specification of some typical ontological models are presented. Examples of a simple, a composite and an extended ontological model are given. The role of ontological models in composite patterns recognition is described and illustrated by examples.作者: placebo-effect 時間: 2025-3-30 04:20 作者: Finasteride 時間: 2025-3-30 11:18
Motivation of the local approach. The only parameter of this algorithm is statistical confidence level that two distributions are identical. Empirical comparisons with 4 other state-of-the-art features selection algorithms (FCBP, CorrSF, ReliefF and ConnSF) are very encouraging.作者: Blatant 時間: 2025-3-30 16:16 作者: 來就得意 時間: 2025-3-30 16:36
Some elements of potential theoryether with the development of sensors and computer resources, leads to new research areas and raises new questions. In this paper, old and new open issues are discussed that have to be faced in advancing real world applications. Some may only be overcome by brute force procedures, while others may b作者: Observe 時間: 2025-3-30 22:54
Basic definitions and preliminaries a general taxonomy, and specification of some typical ontological models are presented. Examples of a simple, a composite and an extended ontological model are given. The role of ontological models in composite patterns recognition is described and illustrated by examples.作者: 符合你規(guī)定 時間: 2025-3-31 03:46 作者: GRE 時間: 2025-3-31 05:00 作者: 兵團 時間: 2025-3-31 10:23 作者: confederacy 時間: 2025-3-31 17:24
Some elements of potential theoryssume that . contains substitution, insertion and deletion errors, and that .* is an element of a finite (but possibly, large) dictionary, .. The best estimate .. of .*, is defined as that element of . which minimizes the Generalized Levenshtein Distance .(.) between . and . such that the total numb作者: 悶熱 時間: 2025-3-31 21:01 作者: 女上癮 時間: 2025-4-1 00:49 作者: obnoxious 時間: 2025-4-1 04:49 作者: 匍匐 時間: 2025-4-1 07:13
Nourishment of the Art of Adjudication,based on the notion of fuzzy random variable and also on a subjective ranking method for fuzzy number defined by Campos and González. The Bayesian hierarchical classifier is based on a decision-tree scheme for given tree skeleton and features to be used in each inertial nodes. The influence of selec作者: Scleroderma 時間: 2025-4-1 13:29
Nourishment of the Art of Adjudication,ging the topology of the supervised part for improving the reject quality. Within the framework of the recognition of disturbed forms, our strategy was based on the adaptability of the classifier instead of, for example, making it learn more samples by artificially creating all the possible deformat
