NBA Playoffs的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列包括賽程、直播線上看和比分戰績懶人包

The Last Enforcer: Outrageous Stories from the Life and Times of One of the Nba’s Fiercest Competitors

為了解決NBA Playoffs的問題，作者Oakley, Charles 這樣論述：

In this ＂incredible read on some incredible days and nights in the old association＂ (Adrian Wojnarowski, ESPN senior NBA insider) Charles Oakley--one of the toughest and most loyal players in NBA history--tells his unfiltered stories about his basketball journey and his relationships with Michael

Jordan, LeBron James, Charles Barkley, Patrick Ewing, Phil Jackson, Pat Riley, James Dolan, Donald Trump, George Floyd, and many others.If you ask a New York Knicks fan about Charles Oakley, you better prepare to hear the love and a favorite story or two. But his individual stats weren’t remarkable

, and while he helped power the Knicks to ten consecutive playoffs, he never won a championship. So why does he hold such a special place in the minds, hearts, and memories of NBA players and fans? Because over the course of nineteen years in the league, Oakley was at the center of more unbelievable

encounters than Forrest Gump, and nearly as many fights as Mike Tyson. He was the friend you wish you had, and the enemy you wish you’d never made. If any opposing player was crazy enough to start a fight with him, or God forbid one of his teammates, Oakley would end it. ＂I can’t remember every reb

ound I grabbed but I do have a story--the true story--of just about every punch and slap on my resume,＂ he says. In The Last Enforcer, Oakley shares one incredible story after the next--all in his signature ＂unflinchingly tough, honest, and ultimately endearing＂ (Harvey Araton, New York Times bestse

lling author) style--about his life in the paint and beyond, fighting for rebounds and respect. You’ll look back on the era of the 1990s NBA, when tough guys with rugged attitudes, unflinching loyalty, and hard-nosed work ethics were just as important as three-point sharpshooters. You’ll feel like y

ou were on the court, in the room, can’t believe what you just saw, and need to tell everyone you know about it.

NBA Playoffs進入發燒排行的影片

基於時序模型和圖神經網路之NBA季後賽勝負預測

為了解決NBA Playoffs的問題，作者錢寧 這樣論述：

近年預測比賽勝負的研究大多有兩點問題，一是以賽後數據做為預測，也就是以比賽已經結束所記錄下的數據來預測該場比賽結果。這樣的做法並不符合真實世界的情況，因為不可能在賽前就得知該場比賽的數據，因此造成準確率失真；二是以球隊的平均數值表現進行分析和預測，這樣的作法並沒有考慮到個別球員在比賽中做出的貢獻，造成許多個別球員表現並未被充分利用，例如：球員個人的得分、失誤、犯規等…。除此之外，對於數據預測的方式多採取傳統的計算方式，例如：直接將前三場的球隊得分算平均，當作第四場的得分，這樣的作法並未考量到數據之間的相關性，造成預測的數據不精準。本論文提出基於時序模型與圖神經網路，以預測出季後賽的勝負，首先

，我們以球員當作點(nodes)，並以時序模型預測之球員表現當作點特徵(node features)，根據其在球隊上的位置關係建邊(edges)形成一張圖(graph)。其次，利用本論文所提出的圖神經網路架構進行預測，其中GAT的注意力機制(attention)將會選取圖中重要的點並計算出點表達式(node representation)，經由GCN做卷積(convolution)得出特徵向量後，再透過全連結層(fully connected)將點表達式轉換成圖表達式(graph representation)，以進行最後的勝負預測。本論文以美國職籃(National Basketball A

ssociation, NBA)2020-2021球季的資料進行實驗，傳統以三場平均(3-game-average)計算出數據並透過ANN預測，準確率為59.5%，而透過本論文所提方法進行預測的準確率達到76.9%，顯示本架構能夠有效預測比賽的勝負。

The Last Enforcer: Outrageous Stories from the Life and Times of One of the Nba’’s Fiercest Competitors

為了解決NBA Playoffs的問題，作者Oakley, Charles,Isola, Frank 這樣論述：

Charles Oakley played nineteen seasons in the NBA. He started his professional career in 1986 with the Chicago Bulls, where he became teammate, protector, and close friend to Michael Jordan, and was selected to the NBA All-Rookie First Team. In 1988, he was traded to the New York Knicks, where he fo

rmed a starting lineup with fellow NBA All-Stars Patrick Ewing, John Starks, and Mark Jackson. The Knicks made the playoffs in each of the ten seasons Oakley was there. Oakley continued his career with three seasons on the Toronto Raptors, and retired in 2004 after playing additional seasons with Ch

icago, Washington, and Houston. He has given time and support to more than a hundred charities, and today can often be found cooking for people in impoverished and underprivileged communities through his Charles Oakley Foundation, a nonprofit that organizes fundraisers and community-building events.

He splits his time between Atlanta, New York, and Cleveland, where he grew up. Frank Isola spent twenty-five years covering the NBA and the New York Knicks at the Daily News (New York). His coverage earned him both an APSE sports writing award, as well a Deadline Club award. In 2015 he was voted Ne

w York Sportswriter of the Year. He currently is a regular on ESPN programs Around the Horn and PTI. He also serves as the cohost on a morning show for SiriusXM NBA Radio, and as a studio analyst for the Nets in the YES Network.

多元傳播平台時代下競爭規範對轉播權交易模式的形塑：以職業運動聯盟賽事為中心

為了解決NBA Playoffs的問題，作者廖家儀 這樣論述：

　　職業運動聯盟及其賽事轉播自問世以來，便與傳播媒體、廣告贊助業者共同發展出以直播時效性為核心，高度商業化的共生經濟型態。進入21世紀後，網際網路促進多元傳播平台的出現，更帶動整個產業在商業模式上的轉變。本研究首先綜合分析職業運動聯盟轉播產業鏈的市場結構，賽事轉播的經濟特質與法律定性。進而透過歐美競爭法的立法例與案例見解，分析發展出現行主流轉播權交易授權架構，意即以集中交易與獨家授權為主要模式的影響因素，包括職業運動聯盟的運作須仰賴內部競爭平衡的維繫、高額轉播權利金的分配以及促進交易與營運效率等。而透過前述分析與對我國中華職棒聯盟轉播權交易模式現狀的綜合比較，本研究進一步發現多元傳播平台與注

意力經濟結合產生的新興商業模式，非但徹底改變終端消費者的使用習慣、賽事觸及消費者注意力的管道，更形成市場的角色多重性，使權利人與轉播業者等市場參與者轉化轉播權收益的途徑產生顯著變化，渠等因此在選擇與規劃交易授權模式時，納入確保權利運用彈性、品牌建立與維繫、多角化經營與市場拓展等考量。　　而在前述商業模式的改變下，由於市場參與者間的整合與結合策略可能形成潛在或強化既有的限制競爭風險，因此有必要以不同於過往的角度關注所牽涉的消費者權益。本研究先從運動賽事本身具有之社會性功能切入，分析各國傳播法規對大眾資訊知情權的保障機制，在適用於具商業性的職業運動賽事上，及因應現今消費者收視習慣變化的不足之處；並

循此脈絡，探究競爭規範可能採行之執法措施，如何從重視職業運動聯盟賽事的市場驅動力、增加權利可用性、數位匯流下平台競合關係，及以賽制性質差異區分監管措施與強度等觀點，避免市場過度集中以促進消費者選擇的可行性。最後，則分別從市場參與者和監管角度，提出規劃授權交易模式時的考量因素和具體建議，期許此一研究成果，有助於我國經驗作為在不同市場條件與法規環境下，其他職業運動聯盟採取轉播權交易授權模式的對照與參考。