Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Speaker Deck
PRO
Sign in
Sign up for free
野球データ分析ハッカソン準優勝解法と特徴量重要度 | AIMS #43 / baseball-hackthon-2nd-place-solution
Shotaro Ishihara
December 21, 2018
Technology
0
2.2k
野球データ分析ハッカソン準優勝解法と特徴量重要度 | AIMS #43 / baseball-hackthon-2nd-place-solution
第43回の阪大AIメディカル研究会(
https://twitter.com/ou_aims/status/1073062205925470208?s=20)での発表資料
Shotaro Ishihara
December 21, 2018
Tweet
Share
More Decks by Shotaro Ishihara
See All by Shotaro Ishihara
Analysis and Estimation of News Article Reading Time with Multimodal Machine Learning
upura
0
93
データ分析の進め方とニュースメディアでのデータ活用事例 / data-analysis-in-kaggle-and-news-media
upura
0
490
国際会議参加報告 AACL-IJCNLP 2022 / AACL-IJCNLP 2022 Report
upura
0
280
spoana 2022年の活動報告と 来年以降の企画募集 / spoana-2022
upura
0
500
Semantic Shift Stability: Efficient Way to Detect Performance Degradation of Word Embeddings and Pre-trained Language Models
upura
0
830
実践:日本語文章生成 Transformers ライブラリで学ぶ実装の守破離 / Introduction of Japanese Text Generation with Transformers
upura
5
7.6k
Nikkei at SemEval-2022 Task 8: Exploring BERT-based Bi-Encoder Approach for Pairwise Multilingual News Article Similarity
upura
0
440
[Poster] Nikkei at SemEval-2022 Task 8: Exploring BERT-based Bi-Encoder Approach for Pairwise Multilingual News Article Similarity
upura
0
400
新聞記事のクリック率予測に向けたペアワイズ学習用データセットの構築手法の検討 / JSAI2022 Generating Pairwise Dataset for CTR Prediction
upura
0
87
Other Decks in Technology
See All in Technology
初めてのデータ移行プロジェクトから得た学び
tjmtmmnk
0
400
ECSコスト削減のブレイクアウトセッションを聴いてきた話 / joining a breakout session on reducing costs with ECS
yayoi_dd
0
140
AWS re:Invent 2022で発表された新機能を試してみた ~Cloud OperationとSecurity~ / New Cloud Operation and Security Features Announced at AWS reInvent 2022
yuj1osm
1
220
OPENLOGI Company Profile
hr01
0
12k
Periodic Multi-Agent Path Planning
hziwara
0
120
マイクロサービス宣言から8年 振り返りとこれから / Eight Years After the Microservices Declaration A Look Back and A Look Ahead
eisuke
2
240
開発者と協働できるメトリクスダッシュボードを作ろう!/SRE Lounge 2023
lmi
3
530
Deep dive in Reserved Instance ~脳死推奨量購入からの脱却~
kzkmaeda
0
550
💰年度末予算消化祭💰 Large Memory Instance で 画像分類してみた
__allllllllez__
0
110
Cloudflare Workersで動くOG画像生成器
aiji42
1
500
01_ユーザーリサーチ実施の進め方
kouzoukaikaku
0
740
NGINXENG JP#2 - 4-NGINX-エンジニアリング勉強会
hiropo20
0
130
Featured
See All Featured
Automating Front-end Workflow
addyosmani
1351
200k
GraphQLの誤解/rethinking-graphql
sonatard
39
7.8k
Fantastic passwords and where to find them - at NoRuKo
philnash
32
1.9k
Visualization
eitanlees
128
12k
The Cult of Friendly URLs
andyhume
69
5.1k
Become a Pro
speakerdeck
PRO
6
3.2k
Into the Great Unknown - MozCon
thekraken
2
300
The Brand Is Dead. Long Live the Brand.
mthomps
48
2.9k
Stop Working from a Prison Cell
hatefulcrawdad
263
18k
Cheating the UX When There Is Nothing More to Optimize - PixelPioneers
stephaniewalter
270
12k
Robots, Beer and Maslow
schacon
154
7.3k
Creatively Recalculating Your Daily Design Routine
revolveconf
207
11k
Transcript
ٿσʔλੳϋοΧιϯ ४༏উղ๏ͱಛྔॏཁ V !VQVSB ࡕେ"*ϝσΟΧϧݚڀձ ˏେࡕେֶਧాΩϟϯύε ݄
ࣗݾհ • اۀͰӦۀɾϚʔέςΟϯά͚ ͷσʔλੳˍ։ൃ • ,BHHMF&YQFSU "U$PEFS • IUUQTVQVSBIBUFOBCMPHDPN •
ࡢ͔ΒಠΓཱྀͰؔʹདྷ·ͨ͠
ຊͷ ʮٿσʔλੳϋοΧιϯʯͷ֓ཁ ४༏উͷղ๏ ಛྔͷॏཁ GFBUVSFJNQPSUBODF ݱ࣮ੈքͰͷ׆༻ࣄྫ
• ϚʔέςΟϯά • ҩྍ
ʮٿσʔλੳ ϋοΧιϯʯͷ֓ཁ
ٿͷσʔλΛੳ • ύγϑΟοΫϦʔάϚʔέςΟϯάגࣜձࣾ ڠྗ͠ɺ࣮ࡍͷٿͷσʔλΛੳ • ΤϯδχΞϦϯά෦ίϯαϧςΟϯά෦ • ࢀՃ෦ͷऴΘΓʹબ
ΤϯδχΞϦϯά෦ • ໊͕ࢀՃʢνʔϜ !͘Β͍ʣ • ؒͷ։࠵ʢ࣮ಇɿ࣌ؒʣ • ՝ʮͱ͋ΔٿஂͷϑΝϯΫϥϒձһ͕ ಛఆͷࢼ߹ʹདྷΔ͔൱͔ʯͷ༧ଌ •
ϑΝϯΫϥϒͷձһσʔλ • ʮϕʔεϘʔϧΦϖϨʔγϣϯʯͷσʔλ
༩͑ΒΕͨ՝ (BNF (BNF (BNF (BNF (BNF (BNF (BNF
ʜʜ ʜʜ ʜʜ BBB͞Μ CCC͞Μ DDD͞Μ ʜʜ YYY͞Μ ʜʜ ZZZ͞Μ ʜʜ [[[͞Μ ఏग़σʔλ \ ^ ϢʔβɿUSBJO UFTU͕ສਓͣͭ
ϚʔέςΟϯά • (BNFʙʹདྷ͔ͨ൱͔ʢUFTU·Ͱʣ • ੜ • ੑผ • ܧଓ •
ϙΠϯτʢ(BNFʙͷྦྷੵʣ • &$ߪೖֹۚʢ(BNFʙͷྦྷੵʣ
ϕʔεϘʔϧΦϖϨʔγϣϯ • ֤ଧऀͷࢼ߹͝ͱͷݸਓ • ֤खͷࢼ߹͝ͱͷݸਓ • ֤ࢼ߹ͷଧ੮͝ͱͷ݁Ռ
ධՁ • ඞਢ݅ɿϕʔεϘʔϧΦϖϨʔγϣϯ ͷσʔλΛೖྗʹ͏ • ֎෦σʔλͷ༻ېࢭ • ධՁج४ɿ༧ଌޡࠩ ˞ࠓճͷ߹ɺਖ਼ղͱಉٛ
!"#$ = 1 ' ( ) *+,- − *+,- / , *+,- ∈ 0, 1
ίϯαϧςΟϯά෦ • σʔλ͔Βʮ৽͍͠ൃݟʯΛಋ͖ग़͢ • ఏग़ͨ͠ϓϨθϯࢿྉΛجʹબൈ͞Εͨ ্ҐνʔϜ͕ϓϨθϯ • νʔϜ໊͕ࢀՃ
४༏উͷղ๏
ϝϯόʔͱํ • ਓνʔϜͰࢀՃ ʢશһ͕σʔλੳˍεϙʔπͷݟ͋Γʣ • ࣮ॳɺίϯαϧςΟϯά෦ʹࢀՃ༧ఆ • ࠷ॳʹཱͯͨԾઆͱਅٯͷੳ݁Ռ͕ग़ͨ! • όοΫΞοϓͰਐΊͨΤϯδχΞϦϯά෦
༧ଌਫ਼͕ྑ͔ͬͨͷͰɺํมߋ
ͷ ˞ओʹҎ֎ͷਓ͕ίϯαϧςΟϯά෦ɺ͕ΤϯδχΞϦϯά෦ Λݕ౼͓ͯ͠Γɺ࣌ίϯαϧςΟϯά෦ʹࢀՃ༧ఆͩͬͨ
୳ࡧతσʔλੳ • (BNFʙͷདྷใ͕ެ։͞Εͨສਓ தͷདྷਓɿ • (BNFˠਓ • (BNFˠਓ • (BNFˠਓ
• ʮ(BNF౷ܭతػցֶश͕͑ͦ͏ʯ • ʮ(BNFͱɾɾɾʯ (BNFʙͰɺ ʮສਓதສਓఔʯ ͕ѹతʹଟ͔ͬͨ
(BNFʢͷ୲ʣ • ಛྔ • ϑΝϯΫϥϒձһ͕ʮࠓقॳΊͯࢀՃͨ͠ࢼ߹ʯ ͷϕʔεϘʔϧΦϖϨʔγϣϯͷใ • ྫɿຊྥଧɺಘɺΤϥʔͳͲ • ʮࢼ߹ʹདྷΔ͔൱͔ॳΊͯͷࢼ߹ͷҹ͕ޮ͘ʯͱ
͍͏ܾΊଧͪͷԾఆΛஔ͍ͨ • ϚʔέςΟϯάͷσʔλ • ߹ܭɺִؒɺۙOࢼ߹ͳͲ
(BNFʢͷ୲ʣ • ༧ଌϞσϧ • TLMFBSOͷ(SBEJFOU#PPTUJOH$MBTTJGJFS • (SJE4FBSDI • 4FFEΛม͑ͯछྨΛΞϯαϯϒϧ •
-JHIU(#.ͳͲɺͦͷଞͷϞσϧ͋·Γਫ਼͕ ग़ͳ͔ͬͨ
(BNFɺʢҎ֎ʣ • དྷऀগͳ͍ˍධՁج४ʮਖ਼ʯ • શһʮདྷͳ͍ʯͱ༧ଌ͢Εਖ਼͑ • • ઈରʮདྷΔʯਓ͚ͩΛਓྗͰ୳ͦ͏ʂ •
(BNFʙશࢼ߹ࢀՃ͍ͯ͠Δਓ • USBJOສਓʹɺ(BNFɺ͚ͩདྷͳ͍ਓ • ଐੑͳͲͰߜΓɺઈରʮདྷΔʯਓΛਓબఆ
-FBLBHF୳͠ʢࣦഊʣ • ϙΠϯτͱ&$ߪೖֹۚɺ(BNFʙͷ ྦྷੵͳͷͰɺ(BNFʙͷདྷใ͕ ೖ͍ͬͯΔʁ • ϙΠϯτͷফԽɺ&$Ҏ֎Ͱͷߪೖ͕͋ͬͨ • ՈΧοϓϧ୳͠ʢֶशσʔλͱςετ σʔλʹ͔Ε͍ͯͳ͍͔ʁʣ
• ֬ূ͕࣋ͯͣ
݁Ռʢ੯͘͠Ґʣ ˢҐͷUBLVPLP͞ΜʹΑΔղ๏·ͱΊ
ֶͼ • ՝ʹԠͯ͡ػցֶशͱਓྗΛ͍͚Δ • ୳ࡧతσʔλੳͷॏཁੑ • ධՁج४ͷେ͞ • ࠓճͷ༧ଌϞσϧͰͷಛྔͷॏཁ ˢڪΒ͘։࠵ଆ͕ٻΊΔݟ
ಛྔͷॏཁ GFBUVSFJNQPSUBODF
ಛྔͷॏཁͱ • ࡞ͨ͠༧ଌϞσϧͰɺೖྗͷ֤ಛྔ ͕ʮͲͷఔޮՌΛൃش͔ͨ͠ʯࣔ͢ • ࠓճͷ߹ʮͲΜͳϓϨʔ͕དྷʹܨ͕Δ ͷ͔ʁʯΛࣔࠦ͢ΔՄೳੑ͋Γ • ܭࢉํ๏͞·͟·ɻಋग़ͷഎܠΛཧղ͠ɺ ͝ར༻ܭըతʹɻ
δχ͕ΘΕ͍ͯΔ ˞ TLMFBSOͷܥͷϞσϧͷ߹ IUUQTHJUIVCDPNTDJLJUMFBSOTDJLJUMFBSOCMPCNBTUFSTLMFBSOUSFFUSFFQZ--
δχ • ࣾձʹ͓͚Δॴಘͷෆฏ͞ΛଌΔࢦඪ ্ͷۭؒɿෆฏ͕ଘࡏʢδχˢʣ Լͷۭؒɿෆฏ͕ଘࡏʢδχˢʣ ࠨͷۭؒɿօಉ͡ʢδχˣʣ ӈͷۭؒɿօಉ͡ʢδχˣʣ δχ͕খ͍͞΄Ͳʮྑׂ͍ʯ
δχͷར • ʮྑׂ͍ʯ͔ධՁͰ͖Δ ࠨͷۭؒɿօಉ͡ ӈͷۭؒɿօಉ͡ ׂ͢ΔΛδχͷͰஅͰ͖Δ ࠨͷۭؒɿօಉ͡ ӈͷۭؒɿෆฏ͕ଘࡏ
δχͷԼ͕Γ߹͍ !" !# $ % !#ͷ࣠Ͱׂ͢Δͱɺδχ͕Լ͕Δˠ !#ʮॏཁʯ !"ͷ࣠Ͱׂ͢Δͱɺδχ͕Լ͕Βͳ͍ˠ !"ʮॏཁʯͰͳ͍
ಛྔͷॏཁ • ॏཁ͕ߴ͔ͬͨಛྔ • ࡾྥଧͷ • ܟԕͷ • ϑΝϯΫϥϒձһίΞͳਓ͕ଟ͘ɺ୯ͳΔ ಘຊྥଧͷͰདྷ͢Δ͔൱͔Λఆ
Ͱ͖ͳ͍ʁ
ݱ࣮ੈքͰͷ׆༻ࣄྫ
ࣄྫϚʔέςΟϯά • XFCαʔϏεͷ͓ࢼ͠ˠຊܖʹࢸΔ͔Λ ༧ଌ͢Δ • ೖྗʹ༻͍ͨϢʔβଐੑߦಈཤྺͷ͏ͪ Կ͕༧ଌʹޮՌత͔ͩͬͨʁ • ॏཁͷߴ͍ಛྔʹӨڹΛ༩͑ΔࢪࡦΛ ͯ͠Έͯʁ
ࣄྫߎ࠹ͷ༧ଌ • ޯϒʔεςΟϯάͰ༧ଌ͠ɺ༧ଌʹؔ͢Δ ֤ಛͷد༩Λࢉग़ ʢܭࢉख๏ʮ1BSUJBM%FQFOEFODF1MPUʯ ͳͷͰલड़ͷಛྔͷॏཁͱҟͳΔʣ • ྟচͷݱͰ༧ޙ༧ଌҼࢠͱͯ͠ΒΕΔ ʮൃલN34ʯʮྸʯͳͲ͕நग़Ͱ͖ͨ
˞ʮػցֶशख๏Λ༻͍ͨߎ࠹ͷ༧ޙ༧ଌҼࢠͷநग़ʯ ਓೳֶձݚڀձࢿྉ
·ͱΊ
·ͱΊ • ʮٿσʔλੳϋοΧιϯʯͷ४༏উղ๏ ͱಘΒΕͨݟΛڞ༗ͨ͠ • ʮಛྔͷॏཁʯͷҰͭͷܭࢉํ๏Λઆ໌ ͠ɺ۩ମతͳ׆༻ࣄྫΛհͨ͠ • ʢϥϯμϜੑؔΘΔͳͷͰɺҙࢥܾఆͷ ࢀߟఔͷར༻͕·͍͠ͱࢥ͏ʣ
ࢀߟࢿྉ • ࡢެ։͞Εͨൃදࢿྉ͕ɺඇৗʹྑ͍ IUUQTXXXTMJEFTIBSFOFU4BUPTIJ)BSBTT