ice international的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列地圖、推薦、景點和餐廳等資訊懶人包

The Land Beneath the Ice: The Pioneering Years of Radar Exploration in Antarctica

為了解決ice international的問題，作者Drewry, David J. 這樣論述：

A wondrous story of scientific endeavor--probing the great ice sheets of AntarcticaFrom the moment explorers set foot on the ice of Antarctica in the early nineteenth century, they desired to learn what lay beneath. David J. Drewry provides an insider’s account of the ambitious and often hazardou

s radar mapping expeditions that he and fellow glaciologists undertook during the height of the Cold War, when concerns about global climate change were first emerging and scientists were finally able to peer into the Antarctic ice and take its measure. In this panoramic book, Drewry charts the hist

ory and breakthrough science of radio-echo sounding, a revolutionary technique that has enabled researchers to measure the thickness and properties of ice continuously from the air--transforming our understanding of the world’s great ice sheets. To those involved in this epic fieldwork, it was evide

nt that our planet is rapidly changing, and its future depends on the stability and behavior of these colossal ice masses. Drewry describes how bad weather, downed aircraft, and human frailty disrupt the most meticulously laid plans, and how success, built on remarkable international cooperation, ca

n spawn institutional rivalries. The Land Beneath the Ice captures the excitement and innovative spirit of a pioneering era in Antarctic geophysical exploration, recounting its perils and scientific challenges, and showing how its discoveries are helping us to tackle environmental challenges of glob

al significance.

ice international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ice international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。

The Butterfly House

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為了解決ice international的問題，作者Engberg, Katrine 這樣論述：

DetectivesJeppe K rner and Anette Werner race to solve a series of sordid murders linked to some of the most vulnerable patients in a Danish hospital in this sequel to the #1 international bestseller The Tenant that is ＂brimming with personality, eccentric characters, and plenty of mystery and intri

gue＂ (Crime by the Book).Hospitals are supposed to be places of healing. But in the coronary care unit at one of Copenhagen’s leading medical centers, a nurse fills a syringe with an overdose of heart medication and stealthily enters the room of an older male patient. Six days earlier, a paperboy on

his route in central Copenhagen stumbles upon a macabre find: the naked body of a dead woman, lying in a fountain with arms marked with small incisions. Cause of death? Exsanguination--the draining of all the blood in her body. Copenhagen investigator Jeppe K rner, recovering from a painful divorce

and in the throes of a new relationship, takes on the case. His partner, Anette Werner, now on maternity leave after an unexpected pregnancy, is restless at home with a demanding newborn and an equally demanding husband. While Jeppe pounds the streets looking for answers, Anette decides to do a lit

tle freelance sleuthing. But operating on her own exposes her to dangers she can’t even begin to fathom. As the ＂thrillingly nerve-racking＂ (Shelf Awareness) investigation ventures into dark corners, it uncovers the shockingly depraved greed that festers beneath the surface of caregiving institution

s--and what Jeppe and Anette discover will turn their blood as cold as ice... A former dancer and choreographer with a background in television and theater, Katrine Engberg launched a groundbreaking career as a novelist with the publication of her fiction debut, The Tenant. She is now one of the m

ost widely read and beloved crime authors in Denmark, and her work has been sold in over twenty-five countries. She lives with her family in Copenhagen.

臺灣消費者評估9種冷泡紅茶感官接受性與品飲過程感受變化之研究

為了解決ice international的問題，作者邱思綺 這樣論述：

食品感官品評是以人類的感官系統作為工具，並用科學客觀的方式來探討感官感受與食品之間的交互作用，同時結合生理、心理與統計學的科學研究方法。動態感官品評技術有別於以往常見的靜態感官品評技術，可以知曉品評員品評樣品時，樣品在口中隨著時間之感受變化，相較於靜態感官品評，同一種樣品在動態感官品評時能蒐集到更多複雜的感官特性結果。茶是現今世界上消費最廣泛且受歡迎的三大主要飲料之一，其中，紅茶為大多數人能接受之類型。現今尚無針對紅茶之動態感官品評研究，因此本研究利用9分快感測試 (9-Point hedonic test)、選擇適合項目法(Check-All-That-Apply Method; CATA

法)、時序感覺支配法(Temporal Dominance of Sensations; TDS)、時序選擇適合項目法(Temporal Check-All-That-Apply; TCATA)評估9種臺灣冷泡紅茶（臺灣山茶、紅玉、蜜紅玉、青心烏龍、蜜青心烏龍、台茶12號、武夷、肉桂及鳳凰品種），以瞭解臺灣消費者接受性與感官特性及飲用後在口中之感受變化。冷泡茶樣品是以茶葉比水1:100的比例，用常溫水浸泡1小時後，放入5℃冷藏6小時製成。選擇適合項目法試驗招募87名消費者品評員，時序感覺支配法試驗招募108名消費者品評員，時序選擇適合項目法試驗招募95名消費者品評員。在評估試驗後進行統計分析，

包含變異數分析、考克蘭Q檢定、對應分析、集群分析、時序感覺支配法曲線、顯著感官特性之帶狀圖、時序選擇適合項目法曲線、時序選擇適合項目法差異曲線及軌跡圖。消費者接受性測試結果顯示，9種冷泡紅茶之接受性大多高於「沒有喜歡或不喜歡」的程度。選擇適合項目法(CATA法)研究結果顯示，在所有樣品感官特性中，消費者明顯感受到澄清明亮且具有光澤的外觀，而口感方面擁有明顯的回甘感及留香感。時序感覺支配法(TDS)研究結果顯示消費者對於臺灣山茶之品飲感受具有明顯的花香味及蜜香味。紅玉、蜜紅玉及台茶12號的感受較相似可視為同一群，澀感為此群主要被支配的感受。青心烏龍、蜜青心烏龍及武夷品種為同一群，草本味為其主要被

支配的感受。肉桂具有較豐富的感官特性。鳳凰品種在後期才出現澀感、回甘感及留香感之感受。時序選擇適合項目法(TCATA)研究結果顯示消費者在9種紅茶中感受到的主要特徵為澀感、草本味、留香感及回甘感，其次為花香味及清涼感。消費者認為花香味為飲用臺灣山茶時最主要特徵；紅玉、蜜紅玉及鳳凰品種則有明顯澀感；青心烏龍、蜜青心烏龍、台茶12號、武夷及肉桂品種則有明顯草本味。測試結束時，幾乎所有樣品都有感受到明顯回甘感及留香感。本研究以CATA法、TDS及TCATA來分析探討消費者對9種冷泡紅茶之感官感受及樣品在口中的感受變化，研究所建立之科學化且客觀的結果，可以幫助茶文化未來的行銷及推廣。