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harapon1012 2020/02/05
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Inferring personal economic status from social network location - Nature Communications
harapon1012 2017/05/17
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http://cucis.ece.northwestern.edu/projects/DMS/publications/AnomalyDetection.pdf
harapon1012 2015/10/21
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Learning Deep $\ell_0$ Encoders
harapon1012 2015/10/15
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Bidirectional Helmholtz Machines
harapon1012 2015/10/15
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Â« èªäº†ï¼šKrishna & Schwarz (2014) ã‚»ãƒ³ã‚µãƒªãƒ¼ãƒ»ãƒžãƒ¼ã‚±ãƒ†ã‚£ãƒ³ã‚°ã¨èº«ä½“åŒ–èªçŸ¥ | ãƒ¡ã‚¤ãƒ³ | èªäº†ï¼šWilson(2002) èº«ä½“åŒ–èªçŸ¥ã¨ã„ã†æ¦‚å¿µã‚’è§£å‰–ã™ã‚‹ Â» 2014å¹´12æœˆ16æ—¥ (ç«) Graefe, A. (2014) Accuracy of vote expectation surveys in forecasting elections. Public Opinion Quarterly, 78, 204-232. ã¼ã‚“ã‚„ã‚ŠPOQã®ã‚µã‚¤ãƒˆã‚’çœºã‚ã¦ã„ã¦ã€ã‚¢ãƒ–ã‚¹ãƒˆãƒ©ã‚¯ãƒˆã‚’æ•°è¡Œèªã‚“ã§ã€ã“ã‚Œã¯ãˆã‚‰ã„ã“ã£ã¡ã‚ƒã€ã¨é’ããªã£ãŸè«–æ–‡ã€‚ã¾ã•ã«ã“ã‚Œã€ã“ã†ã„ã†ç ”ç©¶ã‚’æŽ¢ã—ã¦ã„ãŸã®ã«ã€ã“ã‚Œã¾ã§è¦‹ã¤ã‘ã‚‹ã“ã¨ãŒã§ããªã‹ã£ãŸã€‚æŽ¢ã—æ–¹ãŒæ‚ªã‹ã£ãŸã®ã ã€‚å—šå‘¼æ„šã‹ãªã‚Šã€‚ è¡¨é¡Œã® vote expectation surveyã¨ã„ã†ã®ã¯ã€ã€Œèª°ã«æŠ•ç¥¨ã—ã¾ã™ã‹ã€ã§ã¯ãªãã€Œèª°ãŒå‹ã¤ã¨æ€ã„ã¾ã™ã‹ã€ã¨å°‹ã
harapon1012 2014/12/17
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harapon1012 2014/12/03
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Daily Stress Recognition from Mobile Phone Data, Weather Conditions and Individual Traits
harapon1012 2014/10/24
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1To appear in æ—¥æœ¬å¿œç”¨æ•°ç†å¦ä¼šè«–æ–‡èªŒ. ç¢ºçŽ‡åˆ†å¸ƒé–“ã®è·é›¢æŽ¨å®šï¼š æ©Ÿæ¢°å¦ç¿’åˆ†é‡Žã«ãŠã‘ã‚‹æœ€æ–°å‹•å‘ Distance Approximation between Probability Distributions: Recent Advances in Machine Learning æ‰å±± å°† æ±äº¬å·¥æ¥å¤§å¦ è¨ˆç®—å·¥å¦å°‚æ”» Masashi Sugiyama Tokyo Institute of Techno logy, Japan. [email protected]itech.ac.jp http://sugiyama-www.cs.titech.ac.jp/Ëœsugi æ¦‚ è¦ ç¢ºçŽ‡åˆ†å¸ƒé–“ã®è·é›¢ã®æŽ¨å®šã¯æ©Ÿæ¢°å¦ç¿’ã«ãŠã‘ã‚‹åŸºç¤Žçš„ãªç ”ç©¶èª²é¡Œã®ä¸€ã¤ã§ã‚ã‚Šï¼ŒäºŒæ¨™æœ¬ æ¤œå®šï¼Œå¤‰åŒ–ç‚¹æ¤œçŸ¥ï¼Œã‚¯ãƒ©ã‚¹ãƒãƒ©ãƒ³ã‚¹æŽ¨å®šãªã©æ§˜ã€…ãªç›®çš„ã«å¿œç”¨ã™ã‚‹ã“ã¨ãŒã§ãã‚‹ï¼Žæœ¬ ç¨¿ã§ã¯ï¼Œç¢ºçŽ‡åˆ†å¸ƒã®æŽ¨å®šã‚’ä»‹ã•ãªã„ç›´æŽ¥è·é›¢è¿‘ä¼¼æ³•ï¼Œç‰¹ã«ï¼Œã‚«ãƒ«ãƒãƒƒã‚¯
harapon1012 2014/09/15
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harapon1012 2014/09/09
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The Dynamics of Repeat Consumption(WWW 2014) èªã‚“ã - ç³žç³žç³žãƒãƒƒãƒˆå¼æ…¶
The Dynamics of Repeat Consumption(pdf) æ¦‚è¦ åŒã˜å•†å“ã‚’ç¹°ã‚Šè¿”ã—è²·ã†è¡Œå‹•ã¯ã„ã‹ã«ã—ã¦èµ·ã“ã‚‹ã®ã‹? ã®è«–æ–‡ çµè«–ã¨ã—ã¦ã¯ã€Œç¹°ã‚Šè¿”ã—è²·ã‚ã‚Œã‚‹ã‚‚ã®ã¯ï¼Œæœ€è¿‘è²·ã‚ã‚ŒãŸå•†å“ã€ã®ä¸€è¨€ï¼Ž ãƒ‡ãƒ¼ã‚¿ã‚»ãƒƒãƒˆ youtubeã®å†ç”Ÿå±¥æ´ï¼Œgoogle+ã®ãƒã‚§ãƒƒã‚¯ã‚¤ãƒ³å±¥æ´ï¼ŒBrightkiteã®ãƒã‚§ãƒƒã‚¯ã‚¤ãƒ³å±¥æ´ï¼Œwikipediaã®é–²è¦§å±¥æ´ï¼ŒYES.comã®å†ç”Ÿå±¥æ´ï¼Œã‚·ã‚§ãƒ¼ã‚¯ã‚¹ãƒ”ã‚¢(?)ãªã©ï¼Ž åŸºç¤Žåˆ†æž ãƒ‡ãƒ¼ã‚¿ã«é–¢ã™ã‚‹çµ±è¨ˆï¼Žé‡è¦ãªã®ã¯ ãƒ¦ãƒ¼ã‚¶ã¯äººæ°—ã®ã‚¢ã‚¤ãƒ†ãƒ ã‚’æ¶ˆè²»ã—ã¦ã„ã‚‹ Satiation(ãƒ¦ãƒ¼ã‚¶ãŒã‚ã‚‹ã‚¢ã‚¤ãƒ†ãƒ ã‚’é£½ãã‚‹ã“ã¨)ã¯ä»Šå›žã¯è¦³æ¸¬ã•ã‚Œã¦ã„ãªã„ repeat consumingã®å‰²åˆã‚’è¦‹ã‚‹ã¨ç¨‹åº¦ã®å·®ã“ãã‚ã‚Œï¼Œå…¨ã¦ã®ãƒ‡ãƒ¼ã‚¿ã‚»ãƒƒãƒˆã§ç¾ã‚Œã¦ã„ã‚‹äº‹ãŒã‚ã‹ã‚‹ ã€Œåˆ†å¸ƒã‚’è¦‹ã‚‹ã¨ãƒ‘ãƒ©ãƒ¡ãƒ¼ã‚¿ã®ç•°ãªã‚‹ãƒã‚¢ã‚½ãƒ³åˆ†å¸ƒã«ä¼¼ã¦ã„ã‚‹ã€ã¨ã‚ã‚‹ãŒå¾ŒåŠã§ã®åˆ©ç”¨ç„¡ã— ã‚ˆãã‚ˆãè€ƒãˆã¦ã¿ã‚‹ã¨ï¼Œãƒªãƒ”ãƒ¼ãƒˆã®å‚¾å‘ãŒ2ã¤
harapon1012 2014/07/16
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Learning Deep Structured Semantic Models for Web Search using Clickthrough Data (CIKM 2013)
harapon1012 2014/06/21
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harapon1012 2014/05/30
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Using Random Forest to Learn Imbalanced Data
harapon1012 2014/05/27
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Traveling the Silk Road: A Measurement Analysis of a Large Anonymous Online Marketplace (WWW 2013) èªã‚“ã - ç³žç³žç³žãƒãƒƒãƒˆå¼æ…¶
Traveling the Silk Road: A Measurement Analysis of a Large Anonymous Online Marketplace æ¦‚è¦ å£²ä¸Šãªã‚“ã¨1170å„„å††ã€‚FBIãŒãƒ‰ãƒ©ãƒƒã‚°ã®ã‚¢ãƒžã‚¾ãƒ³ï½¢Silk Roadï½£é–‰éŽ–ã€é‹å–¶è€…é€®æ• | ã‚®ã‚ºãƒ¢ãƒ¼ãƒ‰ãƒ»ã‚¸ãƒ£ãƒ‘ãƒ³ å…ˆæ—¥FBIã®å–ã‚Šç· ã¾ã‚Šã«ã‚ˆã£ã¦é–‰éŽ–ã—ãŸã‚ªãƒ³ãƒ©ã‚¤ãƒ³ãƒžãƒ¼ã‚±ãƒƒãƒˆãƒ—ãƒ¬ã‚¤ã‚¹ã§ã‚ã‚‹ silk road ã®èª¿æŸ»è«–æ–‡ï¼Žã‚¿ã‚¤ãƒˆãƒ«ãŒã‹ã£ã“ã„ã„ï¼Ž WWWã¯ã“ã®ã‚ˆã†ãªï¼Œé¢ç™½ãƒ‡ãƒ¼ã‚¿ã®åˆ†æžè«–æ–‡ãŒå®šæœŸçš„ã«å‡ºã¦ãã‚‹ï¼Ž ã‚¯ãƒãƒ¼ãƒ«ã—ãŸãƒ‡ãƒ¼ã‚¿ã‚»ãƒƒãƒˆã‚‚å…¬é–‹ã•ã‚Œã¦ã„ã‚‹ (Traveling the Silk Road: Datasets)ï¼Ž silk roadã®æ¦‚è¦ Torã§ã—ã‹æŽ¥ç¶šã§ããªã„onionãƒ‰ãƒ¡ã‚¤ãƒ³ã‚’æŒã¡ï¼Œæ”¯æ‰•ã„ã¯bitcoinã§è¡Œã‚ã‚Œã‚‹å®Œå…¨åŒ¿åã‚µã‚¤ãƒˆï¼Ž ãƒ‡ãƒ¼ã‚¿åŽé›† ã‚¯ãƒãƒ¼ãƒ«ã—ã¦ã„ã‚‹äº‹ãŒæ°—ä»˜ã‹ã‚Œãªã„ã‚ˆã†ã«(ã“ã‚Œã¯BANã•ã‚Œ
harapon1012 2014/04/06
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Statistical detection of systematic election irregularities
harapon1012 2014/03/28
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Conference registration: how people react to a deadline
harapon1012 2014/03/17
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A practically tractable expression of the covariances of the Cross-Nested Logit model
harapon1012 2013/10/08
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Detecting influenza epidemics using search engine query data
harapon1012 2013/10/04
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How to Grow a Mind: Statistics, Structure, and Abstraction
How to Grow a Mind: Statistics, Structure, and Abstraction Joshua B. Tenenbaum1,*, Charles Kemp2, Thomas L. Griffiths3, Noah D. Goodman41Department of Brain and Cognitive Sciences, Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Techno logy, 77 Massachusetts Avenue, Cambridge, MA 02139, USA.2Department of Psychology, Carnegie Mellon University, Pittsburgh
harapon1012 2013/10/02
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