SSII2022 [SS2] å°ãªããã¼ã¿ãã©ãã«ãå¹ççã«æ´»ç¨ããæ©æ¢°å¦ç¿æè¡ ã è¶³ããªãæ å ±ãã©ã®ããã«è£ããï¼ã
SSII2022 [SS2] å°ãªããã¼ã¿ãã©ãã«ãå¹ççã«æ´»ç¨ããæ©æ¢°å¦ç¿æè¡ ã è¶³ããªãæ å ±ãã©ã®ããã«è£ããï¼ã
ãªããå£ã¢ã¸ã¥ã©ã¼æ§ã«ã¤ãã¦ããã«ç¥ãããæ¹ã¯ããã¥ã¼ããªã¢ã«ï¼»3ï¼½ãåèã«ãªãã¾ãã æ¨å¹´ã®NIPSã§ã®åå ããã§ã¯ãæ¨å¹´ã®NIPSã§ã®ååãè¦ã¦ã¿ã¾ãããã Bachï¼»4ï¼½ã¯ãLâãã«ã ãå£ã¢ã¸ã¥ã©ã¼é¢æ°ã®ãã´ã¡ã¼ã¹æ¡å¼µããå°åºã§ãããã¨ã示ããã¨ã«ãã, å£ã¢ã¸ã¥ã©ã¼æ§ã¨ã¹ãã¼ã¹æ§ã¨ã®é¢ä¿ã示ãã¾ãããããã«, ãã®æ´å¯ããæå¸«ããå¦ç¿ã§ç¨ãããã¨ãã§ããæ°ãã3ã¤ã®ãã«ã ãææ¡ãã¾ãããã¾ããå¾é æ³ãè¿æ¥æ³ãå£ã¢ã¸ã¥ã©ã¼é¢æ°æé©åã«ä½¿ãããã¨ã示ã, å®é¨ã«ããL1,ã¨L2ãã«ã ãç¨ãããã精度ãè¯ããã¨ã示ãã¾ããã Stobbe and Krauseï¼»5ï¼½ã¯ãå£ã¢ã¸ã¥ã©ã¼é¢æ°ãå¹é¢æ°ã®åã¨ãã¦åè§£ã§ããæ°ããã¯ã©ã¹ï¼decomposable submodular functionï¼ãå®ç¾©ã, ã«ããåé¡, ãã«ã³ã確çå ´ã®æé©å, éå被è¦åé¡ãªã©ããã®æ°ããã¯ã©ã¹ã®æå°åå
Hadoopã¨Mahoutã«ãããããã°ãã¼ã¿ã§ãæ©æ¢°å¦ç¿ãè¡ããã¨ãã§ãã¾ããMahoutã§å®è£ ããã¦ããææ³ã¯ãå ¨ã¦åæ£å¦çã§ããã¢ã«ã´ãªãºã ã¨ãããã¨ã«ãªãã¾ããMahoutã§å®è£ ããã¦ããã¢ã«ã´ãªãºã ã¯ãããã«åæããã¦ãã¾ããè«æã¨ãã¦ãã2006å¹´ã«ãMap-Reduce for Machine Learning on Multicoreãã¨ãã¦ããã¤ãã®ã¢ã«ã´ãªãºã ãç´¹ä»ããã¦ãã¾ãã ããã§ä»åã¯ãï¼ä½çªç ããåããã¾ãããèªåã®çè§£ã®ããã«ãï¼ãã®è«æã§ç´¹ä»ããã¦ããã¢ã«ã´ãªãºã ã¨ãã©ããã£ã¦åæ£å¦çããã®ããç°¡åã«ã¡ã¢ãã¦ããããã¨æãã¾ããè¨ç®ããã¹ãçµ±è¨éããsummation formï¼è¶³ãç®ã§è¡¨ç¾ã§ããå½¢ï¼ã«ãªã£ã¦ãããã©ããããéè¦ãªãã¤ã³ãã§ãããªã£ã¦ãªãå ´åã¯ãâãã¾ãâMapReduceã®å½¢ã«ãã©ãå¿ è¦ãããã¾ãã â»ä¾ã«ãã£ã¦ãééãããã£ãå ´åã¯éæ
2010å¹´ï½2011å¹´ã«ç¤¾å ã§éå¬ããæ©æ¢°å¦ç¿åå¼·ä¼ã®ããã¿ã¼ã³èªèã¨æ©æ¢°å¦ç¿ãèªæ¸ä¼ã§ãå æãããç´ æ´ãããã¢ã³ãã§ã³ãä½ã£ã¦ããã¾ãããPDFãã¡ã¤ã«ã¯æ¢ã«github ä¸ã§å ¬éããã¦ãã¾ããããã®ã¾ã¾åããããã¦ããã®ã¯ãã£ãããªãã¨ãããã¨ã§ãæé»éä¿¡å£ã®å人èªã¨ãã¦æ£å¼ã«åºçããããã¨ã決ã¾ãã¾ããã ⻠表ç´ã®ãã¶ã¤ã³ã¯ä»å¾å¤æ´ãããå¯è½æ§ãããã¾ãã ç®æ¬¡ã¯ä»¥ä¸ã®éãã§ãã 第 1 ç« Â ãåºè«ãã®ããã®ç¢ºçç¨èª 1.1    確ç夿°ã¯å¤æ°ãªã®ã.............................. 7 1.1.1  確ç空é(â¦, F, P)............................. 7 1.1.2Â Â Ï å æ³æ..................................... 8 1.1.3  確ç夿°X..........
ãªãªã¼ã¹ãé害æ å ±ãªã©ã®ãµã¼ãã¹ã®ãç¥ãã
ææ°ã®äººæ°ã¨ã³ããªã¼ã®é ä¿¡
å¦çãå®è¡ä¸ã§ã
j次ã®ããã¯ãã¼ã¯
kåã®ããã¯ãã¼ã¯
lãã¨ã§èªã
eã³ã¡ã³ãä¸è¦§ãéã
oãã¼ã¸ãéã
{{#tags}}- {{label}}
{{/tags}}