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RSS订阅原创 《统计学习方法》第八章-提升方法 学习总结
在《统计学习方法》中第八章提升方法，包括四节，第一节介绍AdaBoost、第二节介绍AdaBoost的误差、第三节介绍从前向分布算法来实现AdaBoost、第四节介绍提升树。 第一节 提升方法AdaBoost算法 第一节首先介绍了AdaBoost的思想：是先得到一个弱分类器，然后在这个弱分类器的基础上将其提升到强分类器，具体方法是提升上一个分类器中被误分类的样本的权重，使得本次训练的分类器
2018-01-04 16:38:39
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游戏设计与叙事的艺术：亚历克西斯·肯尼迪关于历史、叙事和游戏设计的见解 Against Worldbuilding, and Other Provocations
游戏设计与叙事的艺术：亚历克西斯·肯尼迪关于历史、叙事和游戏设计的见解 Against Worldbuilding, and Other Provocations
2025-01-25
The Snare Of The Tree, And Other Perilous Seductions: Essays On Dangers In Game Design
The Snare Of The Tree, And Other Perilous Seductions: Essays On Dangers In Game Design
2025-01-25
2019语言与智能技术比赛数据
Schema based Knowledge Extraction, SKE 2019 ：{"postag": [{"word": "李治", "pos": "nr"}, {"word": "即位", "pos": "v"}, {"word": "后", "pos": "f"}, {"word": "，", "pos": "w"}, {"word": "萧淑妃", "pos": "nr"}, {"word": "受宠", "pos": "v"}, {"word": "，", "pos": "w"}, {"word": "王皇后", "pos": "nr"}, {"word": "为了", "pos": "p"}, {"word": "排挤", "pos": "v"}, {"word": "萧淑妃", "pos": "nr"}, {"word": "，", "pos": "w"}, {"word": "答应", "pos": "v"}, {"word": "李治", "pos": "nr"}, {"word": "让", "pos": "v"}, {"word": "身", "pos": "n"}, {"word": "在", "pos": "v"}, {"word": "感业寺", "pos": "ns"}, {"word": "的", "pos": "u"}, {"word": "武则天", "pos": "nr"}, {"word": "续", "pos": "v"}, {"word": "起", "pos": "v"}, {"word": "头发", "pos": "n"}, {"word": "，", "pos": "w"}, {"word": "重新", "pos": "d"}, {"word": "纳入", "pos": "v"}, {"word": "后宫", "pos": "n"}], "text": "李治即位后，萧淑妃受宠，王皇后为了排挤萧淑妃，答应李治让身在感业寺的武则天续起头发，重新纳入后宫", "spo_list": [{"predicate": "妻子", "object_type": "人物", "subject_type": "人物", "object": "萧淑妃", "subject": "李治"}, {"predicate": "丈夫", "object_type": "人物", "subject_type": "人物", "object": "李治", "subject": "萧淑妃"}]}
2020-08-13
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