Lock in $30 Savings on PRO—Offer Ends Soon! ⏳
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Adallocation-9
Search
Shinya Akiba
August 31, 2016
Research
1
74
Adallocation-9
Shinya Akiba
August 31, 2016
Tweet
Share
More Decks by Shinya Akiba
See All by Shinya Akiba
RS for HP Opt
shinya_akiba
0
3.4k
Mining_Data_Stream
shinya_akiba
0
400
社内勉強会 NIPS2015
shinya_akiba
1
1.2k
Other Decks in Research
See All in Research
大学見本市2025 JSTさきがけ事業セミナー「顔の見えないセンシング技術:多様なセンサにもとづく個人情報に配慮した人物状態推定」
miso2024
0
190
Mamba-in-Mamba: Centralized Mamba-Cross-Scan in Tokenized Mamba Model for Hyperspectral Image Classification
satai
3
330
SNLP2025:Can Language Models Reason about Individualistic Human Values and Preferences?
yukizenimoto
0
220
Combining Deep Learning and Street View Imagery to Map Smallholder Crop Types
satai
3
320
SREはサイバネティクスの夢をみるか? / Do SREs Dream of Cybernetics?
yuukit
2
250
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
380
機械学習と数理最適化の融合 (MOAI) による革新
mickey_kubo
1
440
Agentic AI Era におけるサプライチェーン最適化
mickey_kubo
0
110
単施設でできる臨床研究の考え方
shuntaros
0
3.3k
[Devfest Incheon 2025] 모두를 위한 친절한 언어모델(LLM) 학습 가이드
beomi
2
1.3k
Earth AI: Unlocking Geospatial Insights with Foundation Models and Cross-Modal Reasoning
satai
2
180
空間音響処理における物理法則に基づく機械学習
skoyamalab
0
140
Featured
See All Featured
30 Presentation Tips
portentint
PRO
1
170
SEO Brein meetup: CTRL+C is not how to scale international SEO
lindahogenes
0
2.2k
Between Models and Reality
mayunak
0
150
JAMstack: Web Apps at Ludicrous Speed - All Things Open 2022
reverentgeek
1
290
How to Get Subject Matter Experts Bought In and Actively Contributing to SEO & PR Initiatives.
livdayseo
0
29
Navigating Weather and Climate Data
rabernat
0
49
Avoiding the “Bad Training, Faster” Trap in the Age of AI
tmiket
0
36
Git: the NoSQL Database
bkeepers
PRO
432
66k
Facilitating Awesome Meetings
lara
57
6.7k
Unlocking the hidden potential of vector embeddings in international SEO
frankvandijk
0
130
Embracing the Ebb and Flow
colly
88
4.9k
Bioeconomy Workshop: Dr. Julius Ecuru, Opportunities for a Bioeconomy in West Africa
akademiya2063
PRO
0
31
Transcript
0OMJOF.BUDIJOHBOE"E"MMPDBUJPO
"6OJpFE7JFX#JE4DBMJOH"MHPSJUINT 0CKFDUJWF'VODUJPOT6TFEJO1SBDUJDF 1VCMJTIFE3FTVMUTGSPNUIF*OEVTUSZ "EBQUJWF#JETDBMJOH)FVSJTUJDT 5ISPUUMJOH
"EBQUJWF#JETDBMJOH)FVSJTUJDT ͜Ε·ͰɺछྨͷCJETDBMJOHΞϧΰϦζϜΛհͨ͠ɻ "EWFSTBSJBM ΫΤϦʹΛԾఆ͠ͳ͍ ࠷ѱέʔεͷධՁ %JTUSJCVUJPOCBTFE
4UBUJDͳΛԾఆ ࠷ॳ ͘͠લͳͲ ͷαϯϓϦϯάʹΑΔ͕શମͷΛಉ͡ ͱ͍͏Ծఆ ࣮ࡍɺͷதͰಉ͡Ͱͳ͍͠ɺมԽ͍ͯ͘͠ɻ
"EBQUJWF#JETDBMJOH)FVSJTUJDT ఆظతʹϦαϯϓϦϯάSFDPNQVUF-1`TEVBMWBSJBCMFT "EWFSTBSJBMNPEFMΛར༻͢Δɻ< > )ZCSJEBMHPSJUINTΛ͏ɻ<> "UJNFWBSZJOHEJTUSJCVUJPOJOQVUNPEFM<
> )FVSJTUJDͳख๏ GFFECBDLMPPQ TUBUJDEJTUSJCVUJPO OPOTUBUJDEJTUSJCVUJPO
<>'BTU"MHPSJUINTGPS'JOEJOH.BUDIJOHTJO-PQTJEFE #JQBSUJUF(SBQITXJUI"QQMJDBUJPOTUP%JTQMBZ"ET ࠂओͷ༧ࢉ͕ҟͳΔέʔεͰɺΑΓ#BMBODFEͳΞϧΰϦζϜɻ <>.477ͱ0⒐JOF-1ͷIZCSJE "MMPDBUJOHPOMJOFBEWFSUJTFNFOUTQBDFXJUIVOSFBMFTUJNBUFT .BIEJBO :BIPP3FTFBSDI .477Ͱར༻͍ͯͨ͠ЇFGͱ͍͏ؔΛ ЇFЋ G
ͱ͢ΔɻGɺ ͓ͬͨۚ༧ࢉ <>"E$FMM"E"MMPDBUJPOJO$FMMVMBS/FUXPSLT "E$FMMBOFXNPCJMFBEWFSUJTJOHDPODFQU ࣌ؒଳҐஔใʹΑͬͯΧελϚʔΛධՁ
<>"E8PSETBOE(FOFSBMJ[FE0OMJOF.BUDIJOH ڝ߹ൺFͱͳΔΑ͏ͳΞϧΰϦζϜ ҎԼͷ࣮༻తͳ݅ΛԾఆ͠ɺFΛ࣮ݱͨ͠ɻ ೖࡳऀ ࠂओ ɺVTFS͕ࠂΛΫϦοΫͨ͠ͱ͖ͷΈDPTUΛ ࢧ͏ ࠂओɺ͝ͱʹҟͳΔ༧ࢉΛ࣋ͭ
J൪ͷೖࡳऀɺJ ൪ͷೖࡳऀͷೖࡳֹΛࢧ͏ ͭͷΫΤϦ ྫݕࡧΩʔϫʔυ ʹର͠ɺෳͷࠂ͕දࣔ͞ ΕΔ ࠂओ͝ͱͰɺೖࡳճ͕ҟͳΔ
<>3FBM5JNF#JEEJOH"MHPSJUINTGPS1FSGPSNBODF #BTFE%JTQMBZ"E"MMPDBUJPO OPOTUBUJDEJTUSJCVUJPOʹରͯ͠ɺ༗ޮͳख๏ɻ NBSLFUͷมԽʹରͯ͠ɺ ࣌ؒత ཻͷࡉ͔͍CJEΛઃఆɻ ϦΞϧλΠϜͰิਖ਼߲Λߋ৽͍͖ͯ͠ɺ͍࣌ؒͰͷͷ มԽʹରԠɻ
5ISPUUMJOH CJETDBMJOHͱ5ISPUUMJOHͷҧ͍ 5ISPUUMJOHͷత 5ISPUUMJOHͷߟ͑ํͭ "OFXJOQVUNPEFM
0OMJOF,OBQTBDL1SPCMFNXJUIFTUJNBUFT 0QUJNJ[JOHGPSBMMBEWFSUJTFSTTJNVMUBOFPVTMZ #FTUF⒎PSUSFHSFUGSFFUISPUUMJOH
5ISPUUMJOH CJETDBMJOHͱ5ISPUUMJOHͷҧ͍ 6 7 6 7 TDBMF͞ΕͨCJET͔Β ࠷େͷͷΛબͿ ΦʔΫγϣϯʹࢀՃ͢Δ͔
Ͳ͏͔ΛܾΊ͔ͯΒબͿ PSʹTDBMF͢Δ CJETDBMJOH UISPUUMJOH
5ISPUUMJOH CJETDBMJOHͱ5ISPUUMJOHͷҧ͍ 6 7 6 7 TDBMF͞ΕͨCJET͔Β ࠷େͷͷΛબͿ ΦʔΫγϣϯʹࢀՃ͢Δ͔
Ͳ͏͔ΛܾΊ͔ͯΒબͿ PSʹTDBMF͢Δ 5ISPUUMF͞Εͨ ࠂΩϟϯϖʔϯ CJETDBMJOH UISPUUMJOH
5ISPUUMJOH 5ISPUUMJOHͷత ࠂΩϟϯϖʔϯͷ༧ࢉҎ্ʹೖࡳ͠ͳ͍ͨΊ ΩϟϯϖʔϯظؒதɺTNPPUIʹඅফ͍ͤͯͨ͘͞Ί 5ISPUUMJOHͷํ๏
*NQSFTTJPOWʹରͯ͠ɺVΛUISPUUMF͢Δ͔Ͳ͏͔ͷ֬QVΛ V͕Ωϟϯϖʔϯऴྃͱಉ࣌ʹඅফ͖͠ΕΔΑ͏ʹબͿɻ <>Ͱɺ࠷େԽͨ͠తؔΛ࠷େԽ͢ΔΑ͏ͳ0QUJNJ[FE UISPUUMJOHͱ͍͏ߟ͑ํΛಋೖ͍ͯ͠Δɻ
5ISPUUMJOH "OFXJOQVUNPEFM BVDUJPOUJNFQFSBEWFSUJTFSNFUSJDЖΛఆٛ͢Δɻ ྫ͑ɺࠂΩϟϯϖʔϯVʹର͢Δ*NQSFTTJPOWͷ$53 4V Y ЖV W
≥YͷΑ͏ͳYʹ͍ͭͯɺΫΤϦWʹର͢Δظඅফɻ 4V͕ࣄલʹ͔͍ͬͯΔͱ͍͏Ծఆɻ
5ISPUUMJOH "OFXJOQVUNPEFM ༧ࢉ#Vͱ͖ɺЖ $53 ≥НͷΫΤϦʹೖࡳ͢Δɻ ЖΛ$1$ͱ͓͍ͨ߹ɺЖ $1$ ≤НͷΫΤϦʹೖࡳ͢Δɻ
5ISPUUMJOH 0OMJOF,OBQTBDL1SPCMFNXJUIFTUJNBUFT ЗVVͷWBMVFQFSDMJDL ΫϦοΫͨΓͷظച্ 30*Λ࠷େԽ͢ΔΑ͏ͳ,OBQTBDL P⒐JOF Λߟ͑Δɻ 30*Λ࠷େԽ͢Δ͜ͱɺЗV$1$Λ࠷େԽ͢Δ͜ͱͱಉ͡ɻ ЗVࠂΩϟϯϖʔϯ͝ͱʹݻఆͳͷͰɺ$1$Λখ͘͢͞Δɻ
ඪͷඅফΛୡͭͭ͠ɺ30*Λ࠷େԽ͢Δʹɺ$1$Нͷ ΫΤϦWΛUISPUUMF͢Δɻ
5ISPUUMJOH 0OMJOFͰͷΞϧΰϦζϜɻ 0OMJOF,OBQTBDL1SPCMFNXJUIFTUJNBUFT
5ISPUUMJOH 0QUJNJ[JOHGPSBMMBEWFSUJTFSTTJNVMUBOFPVTMZ ͜Ε·Ͱͭͷࠂओ Ωϟϯϖʔϯ ʹ͍ͭͯɺUISPUUMJOHͷ Λߟ͖͑ͯͨɻ࣮ࡍʹɺෳͷࠂओ͕ΦʔΫγϣϯʹࢀ Ճ͍ͯ͠ΔͷͰɺͦΕͧΕͷඅফЖͷಠཱͰͳ͍ɻ ෳࠂओͷࢀՃʹΑΓʜ
ܝࡌॱҐ͕Լ͕Γɺ$53͕མͪΔ TFDPOEQSJDFΦʔΫγϣϯʹΑΓɺ$1$͕࣍ͷॱҐͷVͷ ͷͱͳΔ <>ͰɺଞͷࠂओΛߟྀͨ͠UISPUUMJOHΛఏҊ͍ͯ͠Δ
5ISPUUMJOH #FTUF⒎PSUSFHSFUGSFFUISPUUMJOH ෳࠂओͰͷ࠷దԽΛߟ͑ͨͱ͖ʹɺෆެฏ͞ͷ͕ੜ͡Δɻ ྫ͑ɺ HMPCBMͳ ΫϦοΫ࠷େԽͷͱ͖ɺ༧ࢉͷେ͖ͳࠂओ ͷΫϦοΫ͕૿͑Δɻ <>ͰCFTUF⒎PSUɺ<>ͰSFHSFUGSFFͱ͍͏ख๏Ͱɺ ࠂओ͝ͱʹෆެฏ͕ੜ͡ͳ͍Α͏ʹ͍ͯ͠Δɻ