[B! PFI] InoHiroã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯

InoHiro id:InoHiro

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rcast_20140411
2. Preferred Â Infrastructure, Â Inc. Â (PFI) è¨â½´ç«‹ï§·: 2006å¹´ï¦Ž3â½‰æœˆ å ´æ‰€: æ±äº¬éƒ½â½‚æ–‡äº¬åŒºæœ¬éƒ· å¾“æ¥å“¡æ•°: 30(å«å½¹å“¡)ã€ã†ã¡26â¼ˆäººãŒç ”ç©¶è€…/ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ ãƒŸãƒƒã‚·ãƒ§ãƒ³: PFIã®å¼·ã¿ï¼šâ½‡æ—¥æœ¬å±ˆæŒ‡ã®ç ”ç©¶è€…ãƒ»ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢é›†å›£ â€¢â€¯ â¾ƒè‡ªç„¶â¾”è¨€èªžå‡¦ç†ï§¤ / æ©Ÿæ¢°å¦ç¿’ / è¨ˆç®—é‡ï¥¾ç†ï§¤è«–ï¥ / â½‚æ–‡å—åˆ—ï¦œã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ Â åšâ¼ å£« â€¢â€¯ TopCoderä¸–ç•Œä¸Šä½â¼Šå…¥è³žè€…ã€ICPCãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã‚³ãƒ³ãƒ†ã‚¹ãƒˆâ½‡æ—¥æœ¬ä»£è¡¨ã€ æœªè¸ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆæŽ¡æŠžè€… æœ€å…ˆç«¯ã®æŠ€è¡“ã‚’æœ€çŸè·¯ï¤·ã§å®Ÿç¾ã™ã‚‹ 2 æœ€å…ˆç«¯ã®ç ”ç©¶ã‚’ ãƒªãƒ¼ãƒ‰ã™ã‚‹ç ”ç©¶è€… æœ€å…ˆç«¯ã®ç ”ç©¶ã‚’ å®Ÿâ½¤ç”¨åŒ–ã™ã‚‹æŠ€è¡“è€…
InoHiro 2014/04/24
machine_learning

PFI
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Deep LearningæŠ€è¡“ã®ä»Š
2. â¾ƒè‡ªâ¼°å·±ç´¹ä»‹ lï¬ å¾—å±… Â èª ä¹Ÿ Â (Seiya Â Tokui) æ ªå¼ä¼šç¤¾Preferred Â Infrastructure, Â Jubatus Â Pj. Â ãƒªã‚µãƒ¼ãƒãƒ£ãƒ¼ lï¬ å°‚â¾¨é–€ã¯æ©Ÿæ¢°å¦ç¿’ï¼ˆä¿®â¼ å£«ã€ç¾è·ï¼‰ lï¬ â€“ ç³»åˆ—ï¦œãƒ©ãƒ™ãƒªãƒ³ã‚°â†’ãƒãƒƒã‚·ãƒ¥ãƒ»è¿‘å‚æŽ¢ç´¢ï¥ªâ†’æ·±å±¤å¦ç¿’ lï¬ ä»Šã®èˆˆå‘³ã¯æ·±å±¤å¦ç¿’ã€è¡¨ç¾å¦ç¿’ã€åˆ†æ•£å¦ç¿’ã€æ˜ åƒè§£æž lï¬ @beam2d Â (Twitter, Â Github, Â etc.) 2 / Â 47 3. 2011å¹´ï¦Ž: Â â¾³éŸ³å£°èªè˜ï§¼ã«ãŠã‘ã‚‹æˆåŠŸ lï¬ lï¬ 3 / Â 47 DNN-â€â€‘â€’HMM Â ã‚’ä½¿ã£ãŸâ¼¿æ‰‹æ³•ãŒã€â¾³éŸ³å£°èªè˜ï§¼ã® Â word Â error Â rate Â ã§å¾“æ¥ æ³• Â (GMM) Â ã‚ˆã‚Š Â 10% Â å‰å¾Œã‚‚æ”¹å–„ æºå¸¯ç«¯æœ«ã«ãŠã‘ã‚‹â¾³éŸ³å£°æ“ä½œã« Â Deep Â Learning Â ãŒåˆ©ï§â½¤ç”¨ã•ã‚Œã‚‹ã‚ˆã†ã« F. Seide, G. Li and D. Yu.
InoHiro 2014/02/06
deep_learning

pfi
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Statistical Semanticå…¥é–€ ~åˆ†å¸ƒä»®èª¬ã‹ã‚‰word2vecã¾ã§~
1. The document discusses various statistical and neural network-based models for representing words and modeling semantics, including LSI, PLSI, LDA, word2vec, and neural network language models. 2. These models represent words based on their distributional properties and contexts using techniques like matrix factorization, probabilistic modeling, and neural networks to learn vector representatio
InoHiro 2014/02/06
statistics

PFI
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2. è‡ªå·±ç´¹ä»‹ ï¬ æ¯”æˆ¸å°†å¹³ï¼ˆHIDO Shoheiï¼‰ ï¬ TwitterID: @sla ï¬ å°‚é–€ï¼šãƒ‡ãƒ¼ã‚¿ãƒžã‚¤ãƒ‹ãƒ³ã‚°ã€æ©Ÿæ¢°å¦ç¿’ ï¬ çµŒæ´ï¼š ï¬ 2006-2012: IBMæ±äº¬åŸºç¤Žç ”ç©¶æ‰€ãƒ‡ãƒ¼ã‚¿è§£æžã‚°ãƒ«ãƒ¼ãƒ— ï¬ æ©Ÿæ¢°å¦ç¿’(ç‰¹ã«ç•°å¸¸æ¤œçŸ¥)ã®ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ç ”ç©¶é–‹ç™º ï¬ ãŠå®¢æ§˜æ¡ˆä»¶ã§ãƒ‡ãƒ¼ã‚¿è§£æžãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã«å¾“äº‹ ï¬ 2012-: æ ªå¼ä¼šç¤¾ãƒ—ãƒªãƒ•ã‚¡ãƒ¼ãƒ‰ã‚¤ãƒ³ãƒ•ãƒ©ã‚¹ãƒˆãƒ©ã‚¯ãƒãƒ£ãƒ¼ ï¬ å¤§è¦æ¨¡ã‚ªãƒ³ãƒ©ã‚¤ãƒ³åˆ†æ•£æ©Ÿæ¢°å¦ç¿’åŸºç›¤Jubatusãƒãƒ¼ãƒ ãƒªãƒ¼ãƒ€ãƒ¼ ï¬ 2013-: Preferred Infrastructure America, Inc. ï¬ Chief Research Officer 2
InoHiro 2013/08/24
PFI

slideshare
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æ©Ÿæ¢°å¦ç¿’ãƒãƒ¥ãƒ¼ãƒˆãƒªã‚¢ãƒ«@Jubatus Casual Talks
2. â¾ƒè‡ªâ¼°å·±ç´¹ä»‹ lï¬â€¯ æµ·é‡Žâ€ƒã€€è£•ä¹Ÿ (@unnonouno) lï¬â€¯ ãƒ—ãƒªãƒ•ã‚¡ãƒ¼ãƒ‰ã‚¤ãƒ³ãƒ•ãƒ©ã‚¹ãƒˆãƒ©ã‚¯ãƒãƒ£ãƒ¼ lï¬â€¯ æƒ…å ±æ¤œç´¢ï¥ªã€ãƒ¬ã‚³ãƒ¡ãƒ³ãƒ‰ lï¬â€¯ æ©Ÿæ¢°å¦ç¿’ãƒ»ãƒ‡ãƒ¼ã‚¿è§£æžç ”ç©¶é–‹ç™º lï¬â€¯ Jubatus lï¬â€¯ åˆ†æ•£ã‚ªãƒ³ãƒ©ã‚¤ãƒ³æ©Ÿæ¢°å¦ç¿’ãƒ•ãƒ¬ãƒ¼ãƒ ãƒ¯ãƒ¼ã‚¯ lï¬â€¯ å°‚â¾¨é–€ lï¬â€¯ â¾ƒè‡ªç„¶â¾”è¨€èªžå‡¦ç†ï§¤ lï¬â€¯ ãƒ†ã‚ã‚¹ãƒˆãƒžã‚¤ãƒ‹ãƒ³ã‚° 2
InoHiro 2013/06/17
PFI

jubatus

machine_learning
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NEWS - Preferred Networks, Inc.
PFN Begins Development of Generative AI Processor MN-Core L1000
InoHiro 2012/05/17
PFI

internship
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InoHiro 2012/02/09
PFI

nlp
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NTT HOME > NTTæŒæ ªä¼šç¤¾ãƒ‹ãƒ¥ãƒ¼ã‚¹ãƒªãƒªãƒ¼ã‚¹ > ãƒ“ãƒƒã‚°ãƒ‡ãƒ¼ã‚¿ã®ãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ å‡¦ç†ã‚’å¯èƒ½ã«ã™ã‚‹å¤§è¦æ¨¡ãƒ‡ãƒ¼ã‚¿åˆ†æžåŸºç›¤æŠ€è¡“ã‚’ä¸–ç•Œã«å…ˆé§†ã‘ã¦é–‹ç™º
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InoHiro 2011/10/28
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ntt
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InoHiro 2011/06/27
7/10ã¾ã§

internship

PFI
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