Demonstrate的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列特價商品、必買資訊和推薦清單

Essays on Aristotle’s Eudemian Ethics

為了解決Demonstrate的問題，作者Heinaman, Robert (EDT) 這樣論述：

Two major works on ethics have come down to us under Aristotle's name, the Nicomachean Ethics and the Eudemian Ethics, but, quite unjustifiably, the Eudemian Ethics has been largely neglected by students of ancient philosophy. This important collection of essays from the sixth Keeling colloquium on

ancient philosophy tries to rectify this one-sided approach to Aristotle's ethics by focusing on the positions and arguments of the Eudemian Ethics. As the essays demonstrate, Aristotle's views in the Eudemian Ethics frequently differ in interesting and surprising ways from those found in the Nicoma

chean Ethics and deserve study for their own sake, not merely for purposes of comparison with the Nicomachean Ethics. The contributors include some of the best known Aristotle scholars of the present day. Christopher Rowe and Jennifer Whiting investigate the Eudemian Ethics' account of friendship (p

hilia) while M.M. McCabe examines the closely related issue of self-knowledge in EE VII.12. Stephen White analyzes the Eudemian Ethics' account of eudaimonia, David Charles focuses on voluntary action, and Friedemann Buddensiek investigates Aristotle's difficult discussion of good fortune (eutuchia)

in EE VIII.2. The volume also contains critical discussions of these papers provided by commentators, who, along with Whiting and McCabe, include Julia Annas and Sarah Broadie. Dr Robert Heinaman, Reader in Philosophy, University College London, UK

Demonstrate進入發燒排行的影片

貝氏最佳化的小樣本採集函數學習

為了解決Demonstrate的問題，作者謝秉瑾 這樣論述：

貝氏最佳化 (Bayesian optimization, BO) 通常依賴於手工製作的採集函數 (acqui- sition function, AF) 來決定採集樣本點順序。然而已經廣泛觀察到，在不同類型的黑 盒函數 (black-box function) 下，在後悔 (regret) 方面表現最好的採集函數可能會有很 大差異。 設計一種能夠在各種黑盒函數中獲得最佳性能的採集函數仍然是一個挑戰。 本文目標在通過強化學習與少樣本學習來製作採集函數(few-shot acquisition function, FSAF)來應對這一挑戰。 具體來說，我們首先將採集函數的概念與 Q 函數 (Q

-function) 聯繫起來，並將深度 Q 網路 (DQN) 視為採集函數。 雖然將 DQN 和現有的小樣本 學習方法相結合是一個自然的想法，但我們發現這種直接組合由於嚴重的過度擬合(overfitting) 而表現不佳，這在 BO 中尤其重要，因為我們需要一個通用的採樣策略。 為了解決這個問題，我們提出了一個 DQN 的貝氏變體，它具有以下三個特徵: (i) 它 基於 Kullback-Leibler 正則化 (Kullback-Leibler regularization) 框架學習 Q 網絡的分佈(distribution) 作為採集函數這本質上提供了 BO 採樣所需的不確定性並減輕了

過度擬 合。 (ii) 對於貝氏 DQN 的先驗 (prior)，我們使用由現有被廣泛使用的採集函數誘導 學習的演示策略 (demonstration policy)，以獲得更好的訓練穩定性。 (iii) 在元 (meta) 級別，我們利用貝氏模型不可知元學習 (Bayesian model-agnostic meta-learning) 的元 損失 (meta loss) 作為 FSAF 的損失函數 (loss function)。 此外，通過適當設計 Q 網 路，FSAF 是通用的，因為它與輸入域的維度 (input dimension) 和基數 (cardinality) 無 關。通過廣

泛的實驗，我們驗證 FSAF 在各種合成和現實世界的測試函數上實現了與 最先進的基準相當或更好的表現。

American Manhood: A Concise History of Masculinity in U.s. History and Culture

為了解決Demonstrate的問題，作者Carroll, Bret 這樣論述：

While the concepts of manhood and masculinity have assumed an established place in gender and historical studies and masculinity is the subject of wide popular interest and discussion, there is currently no up-to-date, comprehensive historical overview of the subject. American Manhood will introd

uce readers to the dynamic interplay between the perceptions and experiences we call "masculinity" and major social, cultural, political, and economic developments in our history. Its central argument will be that Americans of different racial, class, ethnic, and regional groups have historically us

ed concepts of masculine identity to gender relations of power and national belonging in ways that attempt either to entrench or to stake their claims to positions of authority and legitimacy in American life. Gender, the book assumes and will demonstrate, provides a crucial analytic category for un

derstanding U.S. history. The book will cover the period from roughly the early seventeenth century to the present. It will utilize a combination of chronological and topical approaches to present a state-of-the-art narrative, reflective of current historical scholarship, to a broad general audience

. The anticipated audience will bring to their reading a familiarity with recent popular discussions of masculinity; American Manhood will use accessible prose to reveal to them the enormous complexity, diversity, and historical rootedness of the topic - to deepen readers' understanding of a subject

they thought they knew.

布里斯洛中間體自由基反應機制之理論研究

為了解決Demonstrate的問題，作者謝明修 這樣論述：

含氮雜環卡賓（N-heterocyclic carbene）催化之化學反應中，布里斯洛中間體（Breslow intermediate）扮演重要的催化角色。布里斯洛中間體能以親核基（nucleophile）或自由基（radical）之形式參與反應。本論文探討布里斯洛中間體之自由基特性及形成機制（mechanism），其自由基可從氫自由基轉移或直接氧化形成。安息香縮合反應（benzoin condensation）中，布里斯洛中間體將氫原子轉移至苯甲醛（benzaldehyde）以形成自由基，此自由基可結合形成安息香產物，或排除反應之副產物，使其重新進入催化反應。唯此路徑之反應能障高於傳統非自

由基路徑。此研究亦探討四種布里斯洛中間體之不同電子組態的位能面。其中烯醇鹽（enolate）形式能產生偶極束縛態（dipole-bound state），此為產生自由基之新路徑；拉電子基（electron-withdrawing group）以及立體障礙基（bulky groups）可穩定基態。另外，我們亦研究布里斯洛中間體之碎片化（fragmentation）與重組（rearrangement）。布里斯洛中間體之催化反應可能因其碳氮鍵斷裂而中止，形成碎片。我們證實其反應中可以形成自由基，亦可形成離子。反應趨向之路徑與布里斯洛中間體之羥基的質子化型態有關。碎片化反應亦可視為轉酮醇酶（tran

sketolase）中之噻胺（thiamin）催化反應中之副反應；此研究證實轉酮醇酶透過限制布里斯洛中間體之結構與質子化型態，使其碳氮鍵斷裂需更高之反應能量，進而抑制此副反應。