標題: Titlebook: Explainable AI with Python; Leonida Gianfagna,Antonio Di Cecco Book 2021 The Editor(s) (if applicable) and The Author(s), under exclusive [打印本頁] 作者: emanate 時間: 2025-3-21 16:37
書目名稱Explainable AI with Python影響因子(影響力)
書目名稱Explainable AI with Python影響因子(影響力)學科排名
書目名稱Explainable AI with Python網(wǎng)絡公開度
書目名稱Explainable AI with Python網(wǎng)絡公開度學科排名
書目名稱Explainable AI with Python被引頻次
書目名稱Explainable AI with Python被引頻次學科排名
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書目名稱Explainable AI with Python讀者反饋
書目名稱Explainable AI with Python讀者反饋學科排名
作者: 紅潤 時間: 2025-3-21 20:51 作者: colloquial 時間: 2025-3-22 01:42
Shiriki Kumanyika,Ross C. Brownson, XAI can be achieved by looking at the internals with the proper interpretations of the weights and parameters that build the model. We will make practical examples (using Python code) that will deal with the quality of wine, the survival properties in a .-like disaster, and for the ML-addicted the作者: 的染料 時間: 2025-3-22 05:31
https://doi.org/10.1007/978-1-4614-4839-6 that . .. We also provided in Table . of Chap. . (don’t worry to look at it now, we will start again from this table in the following) a set of operational criteria based on question to distinguish between interpretability as a lighter form of explainability. As we saw, explainability is able to an作者: Melanocytes 時間: 2025-3-22 09:31
Paul Tae-Woo Lee,Jasmine Siu Lee Lam as shown by Goodfellow et al. (2014), the first one has been classified as a panda by a NN with 55.7% confidence, while the second has been classified by the same NN as a gibbon with 99.3% confidence. What is happening here? The first thoughts are about some mistakes in designing or training the NN作者: 北京人起源 時間: 2025-3-22 15:46
Mohsen Golalikhani,Mark H. KarwanFor our purposes we place the birth of AI with the seminal work of Alan Turing (1950) in which the author posed the question “Can machines think?” and the later famous mental experiment proposed by Searle called the ..作者: 北京人起源 時間: 2025-3-22 21:05
Books, NIH and Journal Helpful ReferencesThis chapter is a bridge between the high-level overview of XAI presented in Chap. . and the hands-on work with XAI methods that we will start in Chap. .. The chapter will introduce a series of key concepts and a more complete terminology as you will find in literature and papers.作者: 歌劇等 時間: 2025-3-23 00:13 作者: 冷淡周邊 時間: 2025-3-23 04:32
https://doi.org/10.1007/978-3-031-22727-1In this chapter, we will talk about XAI methods for Deep Learning models.作者: 奴才 時間: 2025-3-23 06:06
Hierarchical Data Format 5 : HDF5We reached the end of this journey. In this chapter, we close the loop presenting the full picture of our point of view on XAI; in particular, we will get back to our proposed flow for XAI commenting again on it but keeping in mind all the methods we discussed.作者: 過多 時間: 2025-3-23 10:29 作者: 北極人 時間: 2025-3-23 15:50 作者: Myocarditis 時間: 2025-3-23 21:56
Model-Agnostic Methods for XAI,In this chapter, we start our journey through XAI model-agnostic methods that are, as we said, potent techniques to produce explanations without relying on ML model internals that are “opaque.”作者: zonules 時間: 2025-3-24 00:25 作者: Transfusion 時間: 2025-3-24 03:13 作者: 統(tǒng)治人類 時間: 2025-3-24 07:38
https://doi.org/10.1007/978-3-030-68640-6XAI; Artificial Intelligence; Machine Learning; intrinsic interpretable models; Shapley Values; Deep Tayl作者: 拔出 時間: 2025-3-24 11:32 作者: Saline 時間: 2025-3-24 18:10 作者: HARP 時間: 2025-3-24 21:37
http://image.papertrans.cn/e/image/319283.jpg作者: Bernstein-test 時間: 2025-3-25 01:18
Adversarial Machine Learning and Explainability,d by the same NN as a gibbon with 99.3% confidence. What is happening here? The first thoughts are about some mistakes in designing or training the NN, but the point that will emerge from this chapter is that this mistake in classification is due to an adversarial attack作者: outrage 時間: 2025-3-25 06:02 作者: NIL 時間: 2025-3-25 08:06 作者: –scent 時間: 2025-3-25 13:21 作者: 有法律效應 時間: 2025-3-25 19:11
Intrinsic Explainable Models,, XAI can be achieved by looking at the internals with the proper interpretations of the weights and parameters that build the model. We will make practical examples (using Python code) that will deal with the quality of wine, the survival properties in a .-like disaster, and for the ML-addicted the作者: accrete 時間: 2025-3-25 23:45
Making Science with Machine Learning and XAI, that . .. We also provided in Table . of Chap. . (don’t worry to look at it now, we will start again from this table in the following) a set of operational criteria based on question to distinguish between interpretability as a lighter form of explainability. As we saw, explainability is able to an作者: insurrection 時間: 2025-3-26 03:21
Adversarial Machine Learning and Explainability, as shown by Goodfellow et al. (2014), the first one has been classified as a panda by a NN with 55.7% confidence, while the second has been classified by the same NN as a gibbon with 99.3% confidence. What is happening here? The first thoughts are about some mistakes in designing or training the NN作者: 圓錐 時間: 2025-3-26 04:20 作者: 厭倦嗎你 時間: 2025-3-26 12:06
https://doi.org/10.1007/978-1-4614-4839-6int in this chapter about making science with ML? The answer, long story short, is that explainability is exactly what we need to climb “the ladder of causation” (we will talk about it in a while). We will use XAI in the domain of “knowledge discovery” with a specific focus on scientific knowledge. 作者: commune 時間: 2025-3-26 15:54
t is needed in the field, the book details different approaches to XAI depending on specific context and need.? Hands-on work on interpretable models with specific examples leveraging Python are then presented,978-3-030-68639-0978-3-030-68640-6作者: 故意 時間: 2025-3-26 20:30 作者: Institution 時間: 2025-3-26 21:59
Deutschland in Europa — Zur Au?enpolitik Deutschlands in einem neuen EuropaDeutschland befindet sich nicht mehr an der Nahtstelle zweier unterschiedlicher Weltanschauungen, sondern im Zentrum Europas, aus dem es in alle R?ume hinein wirken kann. ?Eine Nation kann sich ihre eigene Bedeutung nun einmal nicht aussuchen und auch nicht vor ihr davonlaufen. Alle neuen Verpflicht作者: Radiculopathy 時間: 2025-3-27 02:17
Retro-Engineering: Wearable Soundich startled audiences and drew attention to . and . in the theatre. Projections of virtual dancers appeared on screens in Merce Cunningham’s . and ., emanations or graphic phantoms that fluttered in space while the real dancers performed the choreography on stage.. In ., Bill T. Jones’s animated fi作者: Contracture 時間: 2025-3-27 07:49 作者: 托運 時間: 2025-3-27 12:34 作者: 胡言亂語 時間: 2025-3-27 14:50 作者: tympanometry 時間: 2025-3-27 19:13 作者: AND 時間: 2025-3-28 01:46 作者: epicondylitis 時間: 2025-3-28 03:59 作者: 提升 時間: 2025-3-28 06:24 作者: 剛毅 時間: 2025-3-28 11:53
Plea Leniency in Mainland China: Legislation, Characteristics and Effects, purpose that defendants are encouraged to plead guilty and accept punishment in exchange for both substantive and procedural leniency. This chapter aims to tease out a theoretical and practical trajectory of plea leniency and the way it impacts on the power relations of stakeholders in the Chinese 作者: 排斥 時間: 2025-3-28 15:40 作者: 文件夾 時間: 2025-3-28 21:26
