今年の本
割り当て/日程
- 日程
- 8/2 (tue) Chapter 1./Chapter 2.
- 8/3 (wed) Chapter 3./Chapter 4.
- 8/4 (thu) Chapter 5.
- 8/8 (mon) Chapter 6.
- 8/9 (tue) Chapter 7.
- 各自自分の割り当てを記述すること:重なったら個人間で折衝
Chapter M D Staff 1. Causal and Bayesian Networks hanako-a(1.1-1.3.4),mamoru-k(1.3.5-) nozomi-k nil 2. Building Models takafu-h,manab-ki,takaha-u ryu-i nil 3. Learning, Adaptation, and Tuning jia-l(3.1-3.2.1), keiko-t(3.2.2-3) yuchan-c(3.3) shimbo(3.4-5) 4. Decision Graphs mamoru-k(4.1-4.2), jessic-r(4.3) aki-su(4.4), ling-g(4.5-4.5.2) kou-k(4.6), matsu(4.5.3-4.5.5,4.7) 5. Belief Updating in Bayesian Networks yotaro-w(5.1-2), kenta-fu(5.3) shuya-a(5.4), takahi-i(5.5) masayu-a(5.6-7) 6. Bayesian Network Analysis Tools mitsu-ko 6.1-2, kozo-n 6.3-4 campbe-h 6.5, kazuo-h 6.6 inui 6.7 7. Algorithms for Influence Diagrams natali-a,() eric-n,ai-a kenit-t
- Staff (6):
matsu,inui,masayu-a,shimbo,kou-k,kenit-t - D (11):
aki-su,ling-g,ryu-i,takahi-i,nozomi-k,kazuo-h,shuya-a,ai-a,yuchan-c,campbe-h,eric-n - M (15): hiroa-ka, tomoy-ko,
takafu-h,kenta-fu,kozo-n,keiko-t,hanako-a,takaha-u,manab-ki,mamoru-k,mitsu-ko,yotaro-w,natali-a,jessic-r,jia-l
Errata
Section | ページ | 行 | 誤 | 正 |
---|---|---|---|---|
3.4.2 | 97 | ↑5 | as mentioned in Section 1.4.4 | 1.4.4 には該当しそうな記述がない. 2.4.4? |
3.4.5 | 102 | ↑11 | virtual sample size | fictitious sample size と同じと思われる (p.88). |
5.6.1 | 187 | ↓5 | of the links (A_{k}, A_{i}) and (A_{k}, A_{i}) | of the links (A_{k}, A_{i}) and (A_{k}, A_{j}) |
5.7 | 190 | ↑2 | The precedomg method | The preceding method |
5.7 | 191 | ↑12 | = (0.996, 0.04) | = (0.96, 0.04) もしくは = (0.996, 0.004) |
訳語集
- わからない用語をあげると、やさしい先輩が答えてくれます。
用語 | 出現箇所 | 意味 |
---|---|---|
clique | 5.2, p.168 footnote | グラフ中の完全部分グラフで極大なもの. |
update | 3.4 | Chapter 1 で出てきた?どこ? |
propagation | 2.4.4, 3.4 | 初出はどこ? update とどうちがう? |
simple parameter | 3.4.5, p.101 |