標(biāo)題: Titlebook: Learning Disabilities and Brain Function; A Neuropsychological William H. Gaddes Book 19852nd edition Springer-Verlag New York 1985 Brain.F [打印本頁] 作者: 熱情美女 時間: 2025-3-21 17:57
書目名稱Learning Disabilities and Brain Function影響因子(影響力)
書目名稱Learning Disabilities and Brain Function影響因子(影響力)學(xué)科排名
書目名稱Learning Disabilities and Brain Function網(wǎng)絡(luò)公開度
書目名稱Learning Disabilities and Brain Function網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Learning Disabilities and Brain Function被引頻次
書目名稱Learning Disabilities and Brain Function被引頻次學(xué)科排名
書目名稱Learning Disabilities and Brain Function年度引用
書目名稱Learning Disabilities and Brain Function年度引用學(xué)科排名
書目名稱Learning Disabilities and Brain Function讀者反饋
書目名稱Learning Disabilities and Brain Function讀者反饋學(xué)科排名
作者: Heresy 時間: 2025-3-21 23:33 作者: 到婚嫁年齡 時間: 2025-3-22 01:45
Neurology and Behavior: Some Professional Problems,is ambitious and requires educational diagnosticians to learn some basic neurology and neuroanatomy and a useful body of neuropsychology, in addition to their expertise in professional education and psychology.作者: EXALT 時間: 2025-3-22 06:19 作者: 帶來的感覺 時間: 2025-3-22 09:28 作者: magenta 時間: 2025-3-22 16:34
Prevalence Estimates and Etiology of Learning Disabilities,ve discussed these at some length elsewhere (Gaddes, 1976). However, the chief difference is that the definition of physical disease conditions can usually be recognized by reliable symptoms, whereas the definition of deficit behavior, such as learning disabilities, depends on the particular local d作者: GLARE 時間: 2025-3-22 19:14 作者: Foolproof 時間: 2025-3-22 22:21
William H. Gaddesion and complex data fusion; fuzzy sets and fuzzy logic; decision support; comparison measures; machine learning; social data processing; temporal data processing; aggregation..978-3-319-40580-3978-3-319-40581-0Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: 知識 時間: 2025-3-23 01:28
William H. Gaddesion and complex data fusion; fuzzy sets and fuzzy logic; decision support; comparison measures; machine learning; social data processing; temporal data processing; aggregation..978-3-319-40580-3978-3-319-40581-0Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: 不公開 時間: 2025-3-23 06:58
William H. Gaddess; argumentation and belief revision; databases and information systems; conceptual aspectsof data aggregation and complex data fusion; fuzzy sets and fuzzy logic; decision support; comparison measures; machine learning; social data processing; temporal data processing; aggregation..作者: 歡笑 時間: 2025-3-23 11:04 作者: 口音在加重 時間: 2025-3-23 15:30
William H. Gaddesthis research shows that the adaptation with NPI-M has an equivalent performance than the one obtained with the adaptation based on the IDM with the best choice of the hyperparameter. Consequently, since the NPI-M is a non-parametric approach, it is concluded that the NPI-M is more appropriated than作者: COW 時間: 2025-3-23 20:44
William H. Gaddeses in artificial intelligence; belief function theory and its applications; aggregation: theory and practice; aggregation: pre-aggregation functions and other generalizations of monotonicity; aggregation: aggregation of different data structures; fuzzy methods in data mining and knowledge discovery;作者: PAD416 時間: 2025-3-23 23:58
William H. Gaddesthis research shows that the adaptation with NPI-M has an equivalent performance than the one obtained with the adaptation based on the IDM with the best choice of the hyperparameter. Consequently, since the NPI-M is a non-parametric approach, it is concluded that the NPI-M is more appropriated than作者: 平息 時間: 2025-3-24 05:31
William H. Gaddesent it into a categorical-sequential clustering algorithm by combining it with sequential alignment. Finally, we treat each resulting cluster by building individual Markov models of different orders, expecting that the representative characteristics of each cluster are captured.作者: mendacity 時間: 2025-3-24 07:57
William H. Gaddesther characteristics leads to the selection of the same uniform distribution: e.g., estimating the largest possible values of generalized entropy or of some sensitivity-related characteristics. In this paper, we provide a general explanation of why uniform distribution appears in different situation作者: 優(yōu)雅 時間: 2025-3-24 12:43
ber of labels needed. Next, sample informativeness can be exploited in teacher-based algorithms to additionally weigh data by certainty. In addition, multi-target learning of different labeller tracks in parallel and/or of the uncertainty can help improve the model robustness and provide an addition作者: 注意到 時間: 2025-3-24 18:49 作者: Glaci冰 時間: 2025-3-24 23:03 作者: ULCER 時間: 2025-3-25 01:27
William H. Gaddescertainty in Knowledge-Based Systems, IPMU 2016, held in Eindhoven, The Netherlands, in June 2016...The 127 revised full papers presented together with four invited talks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on fuzzy measures an作者: crumble 時間: 2025-3-25 04:52
William H. GaddesInformation processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2016, held in Eindhoven, The Netherlands, in June 2016...The 127 revised full papers presented together with four invited talks were carefully reviewed and selected from numerous submissions. The papers are organiz作者: Bravura 時間: 2025-3-25 10:44
William H. Gaddesa mining area, this task is known as Imprecise Classification. Decision Trees that use imprecise probabilities, also known as Credal Decision Trees (CDTs), have been adapted to this field. The adaptation proposed so far uses the Imprecise Dirichlet Model (IDM), a mathematical model of imprecise prob作者: 為敵 時間: 2025-3-25 12:50
William H. Gaddesncertainty in Knowledge-Based Systems, IPMU 2020, in June 2020. The conference was?scheduled to take place in Lisbon, Portugal, at University of Lisbon, but due to COVID-19 pandemic it was held virtually...The 173 papers were carefully reviewed and selected from 213 submissions. The papers are organ作者: 征兵 時間: 2025-3-25 19:47
William H. Gaddesa mining area, this task is known as Imprecise Classification. Decision Trees that use imprecise probabilities, also known as Credal Decision Trees (CDTs), have been adapted to this field. The adaptation proposed so far uses the Imprecise Dirichlet Model (IDM), a mathematical model of imprecise prob作者: Colonnade 時間: 2025-3-25 20:35 作者: brachial-plexus 時間: 2025-3-26 01:36 作者: Sleep-Paralysis 時間: 2025-3-26 08:15 作者: 騷擾 時間: 2025-3-26 10:16 作者: 暫時休息 時間: 2025-3-26 13:20
Prevalence Estimates and Etiology of Learning Disabilities, subject of epidemics (H. A. Skinner, 1961). More recently, attempts have been made to include specific behavioral syndromes in epidemiological studies, as well as infectious diseases, physical defects, and accident and death rates, but these attempts have produced problems and have been met with on作者: 埋葬 時間: 2025-3-26 19:33 作者: 故意釣到白楊 時間: 2025-3-26 21:55
The Use of Neuropsychological Knowledge in Understanding Learning Disorders,nction and classroom learning. This is a particularly interesting and promising area of exploration but one in which there are still many gray areas. Neurologists and neurosurgeons still are largely ignorant of the particular functions (if they do exist) of most segmental parts of the cerebrum, thal作者: lambaste 時間: 2025-3-27 02:17 作者: Gobble 時間: 2025-3-27 06:07
Sensory and Motor Pathways and Learning,orrelates. When damage or dysfunction occurs in the cortical layers or the neural connections between various cortical areas, it usually impairs the specific sensory, intellectual, or neuromuscular behaviors maximally dependent on these loci.作者: Ancillary 時間: 2025-3-27 12:59 作者: 好色 時間: 2025-3-27 15:55
Language Development, Aphasia, and Dyslexia,children with learning problems is the close relationship between brain structure and function and the development of language. As Lenneberg (1967) has shown, the rules of language are biologically determined, because “all behavior, in general, is an integral part of an animal’s constitution.” It is作者: ABYSS 時間: 2025-3-27 20:45 作者: 虛度 時間: 2025-3-27 23:17 作者: 擦試不掉 時間: 2025-3-28 04:49 作者: 桉樹 時間: 2025-3-28 06:57 作者: invade 時間: 2025-3-28 12:12 作者: 種子 時間: 2025-3-28 17:14 作者: 有發(fā)明天才 時間: 2025-3-28 22:13
https://doi.org/10.1007/978-1-4757-1864-5Brain; Function; Hirnschaden; Lernst?rung; Neuropsychologie; diagnosis; feeling; learning; neurology; percept作者: 鉆孔 時間: 2025-3-29 01:09
Perceptual Disorders,idea or concept. The simplistic implication is that if the pupil pays attention to the statements of the teacher (that is, opens up his receptive apparatus in some unexplained way) he will learn. Unfortunately the process of learning is not that simple.作者: 組裝 時間: 2025-3-29 05:42 作者: 烤架 時間: 2025-3-29 09:18
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