Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
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-...
Search
Shotaro Ishihara
December 21, 2018
Technology
2.4k
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
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
More Decks by Shotaro Ishihara
See All by Shotaro Ishihara
Agent 時代の Kaggle 展望 / kaggle-in-the-agentic-era
upura
1
1.2k
大規模言語モデルは誰を覚えているか / Who Do Large Language Models Memorize?
upura
0
190
[ACL 2026 Demo] Fast-MIA: Efficient and Scalable Membership Inference for LLMs
upura
0
130
Fast-MIA: Efficient and Scalable Membership Inference for LLMs
upura
0
84
JAPAN AI CUP Prediction Tutorial
upura
2
1.4k
情報技術の社会実装に向けた応用と課題:ニュースメディアの事例から / appmech-jsce 2025
upura
0
450
日本語新聞記事を用いた大規模言語モデルの暗記定量化 / LLMC2025
upura
0
800
Quantifying Memorization in Continual Pre-training with Japanese General or Industry-Specific Corpora
upura
1
140
JOAI2025講評 / joai2025-review
upura
0
1.8k
Other Decks in Technology
See All in Technology
研究開発部の紹介 / Sansan R&D Profile
sansan33
PRO
5
25k
AIに任せた品質は、誰が見立てるのか - AI時代のテストマネジメント
nakanao
3
2.8k
AI時代の「技術的負債」の変質ー概念の終焉と再解釈、エージェントと共に向かう先
nwiizo
1
3.2k
銀行勘定系システムにおける開発プロセス刷新×AIによる環境モダナイゼーション / Development Process Transformation and AI-Driven Environment Modernization
muit
1
2.6k
登壇の自信を奪う3匹のオバケ / 3 Ghosts That Rob You of Your Confidence in Public Speaking
pauli
9
1.1k
beyond jj: config & tools ecosystem
indirect
0
5.8k
積み重なった技術負債への挑戦 〜初手としての全社ゴト化〜
techtekt
PRO
0
1.6k
aws-iot-platform-architecture-use-cases.pdf
ma2shita
0
510
作って終わりじゃないサーバーレス 〜9年運用する大規模EC物流API基盤の設計・運用のリアル〜
zozotech
PRO
0
440
Von-Neumann Machines, Dreams & The Futures of IT
ufried
0
120
AI coding 整合正規方法
philipz
0
480
ソフトウェアDNAとクラウドエージェントのススメ
cloudace
0
120
Featured
See All Featured
Writing Fast Ruby
sferik
630
63k
The Invisible Side of Design
smashingmag
301
52k
A brief & incomplete history of UX Design for the World Wide Web: 1989–2019
jct
2
510
XXLCSS - How to scale CSS and keep your sanity
sugarenia
250
1.3M
Agile that works and the tools we love
rasmusluckow
331
22k
Google's AI Overviews - The New Search
badams
0
1.6k
Jess Joyce - The Pitfalls of Following Frameworks
techseoconnect
PRO
1
420
Building the Perfect Custom Keyboard
takai
2
880
WCS-LA-2024
lcolladotor
0
830
Introduction to Domain-Driven Design and Collaborative software design
baasie
1
990
The Limits of Empathy - UXLibs8
cassininazir
1
680
Leo the Paperboy
mayatellez
10
2.3k
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