é½å¿é¨ã®ã´ã£ã³ãã¼ã¸ãã³ã·ã§ã³ã¨ããããæãã³ã·ã§ã³ã«å¼ã£è¶ãã¦ãã¦4å¹´ãéãããç¯45å¹´ãè¶ ããèæ½åãã¦ããç®æãå¤ã è¦ããããã管çãè¡ãå±ãã¦ãããå¨è¾ºã®ç¯æµ ãã³ã·ã§ã³ã¨æ¯ã¹ã¦ãªã¼ãºããã«ã§ãã¤å°æé¢ç©100ã¡åå¾ç¢ºä¿ã§ãããã¨ãããä»ããã«ãªãã©ã¼ã ãã¦å ¥å± ãããã¡ããªã¼å±¤ãå¾ã絶ããªãã ä¸æ¹ã§ãä¸æ¨å¹´ãå½æã®çäºä¼ã建æ¿æ¨é²ã®åºç« ã¨ãã¦èé診æãå®æ½ããããã®çµæãæ³å®ä»¥ä¸ã«è³ãããªãã建æ¿ã»èéè£å¼·ã»ä¿®ç¹ã®ããããé¸æãããããã³ã·ã§ã³ãããããã¼ã交ããçé¢ç®ãªè°è«ãç¾å¨é²ãã§ããã èéæ§ãå£ãã®ã§ããã°ãå«ç·ã«èéè£å¼·ããã¹ãã§ããããããã®ãã³ã·ã§ã³ã¯æ§é ãããè¤éã§ãããããèéè£å¼·ã«ã¯åæ°ååï¼æ¸å½ãã1,000ä¸åå¼·ï¼ããã£ã¦ãã¾ããããããåæ°ååããã¦è£å¼·ãã¦ããèæ½åããå¤å£ãé 管çã¯ãã®ã¾ã¾ã§ãããåçæ§ã追æ±ããã®ã§ããã°ã建æ¿ã»ã»ã»ã¨èããã®ãç¡ç
ããµã¤ãã«é£ã¹ããã£ã¦ãªãã ããï¼ââæé£ã¨éé£ããã¤ãç§ãã¡ã®é£ã¹æ¹ ããªããµã¤ãã«é£ã¹ãããªãã®ããèè ã磯éçç©æ°ã¤ã³ã¿ãã¥ã¼ æ å ± #æé£é害#æ°åã¤ã³ã¿ãã¥ã¼#éé£#æé£#ãªããµã¤ãã«é£ã¹ãããªãã®ã è¦ãç®ããããã°ãããªã«è¦å´ããªãã¦ã楽ãã人çãéãããå¨éãããããããã¯ãããªã«åå¼·ãã¦ã人並ã¿ã®äººçãéããªãââ4å¹´éã111æéã«ããã¶ã¤ã³ã¿ãã¥ã¼ãéããæé£ã¨éé£ãæå人é¡å¦ã®è¦ç¹ããã¿ã¤ããããªããµã¤ãã«é£ã¹ãããªãã®ããï¼æ¥ç§ç¤¾ï¼ã話é¡ãéãã¦ãããããµã¤ãã«é£ã¹ãããªãã彼女ãã¡ã®é£ã¹æ¹ã¯ãã©ã®ããã«ãã®ç¤¾ä¼ã¨ã¤ãªãã£ã¦ããã®ããèè ã®ç£¯éçç©æ°ã«ã話ããããã£ããï¼èãæã»æ§æï¼å±±æ¬èã åï¼ ââæé£ã¨éé£ã«ã¤ãã¦ãæå人é¡å¦ããã¢ããã¼ããããã£ãããæãã¦ãã ããã ç§ã¯ãã¨ãã¨éåççå¦ãå°éã«ãã¦ããã®ã§ãããå¦ã¹ã°å¦ã¶ã»ã©äººéãç´°ååãã¦ãããã¨ã«
February 28, 2017 | Culture, Design | casabrutus.com | photo_Ayumi Yamamoto text_Yuka Uchida 2æ24æ¥ã«çºå£²ããããæä¸æ¥æ¨¹ã®é·ç·¨å°èª¬ãé¨å£«å£é·æ®ºãããæãããã®ã¯å æ°æ½®ç¤¾è£ å¹å®¤é·ã®é«æ©åè£ã ãé«æ©ãä¸å¿ã«ãæ°æ½®ç¤¾ã§30å¹´æ¥ãæä¸æ¥æ¨¹ãæ å½ããç·¨éè ã»å¯ºå³¶å²ä¹ã交ãã¦ãä»ä½ã®è£ å¹ã®çããèããã ã殺ãã®æåã ãããºã¬ãææ¸ã風ã®ã¿ã¤ãã«ãã´ã表ç´ããè£è¡¨ç´ã¸ã大èã«æ¬ã貫ãäºç¨®é¡ã®å£ãæä¸æ¥æ¨¹ã®æ°åãé¨å£«å£é·æ®ºããã®è£ å¹ã¯ãçºå£²åæ¥ã¾ã§ãã®ãã¶ã¤ã³ãæããã«ãããªãã£ããã¨ãããããã¡ã³ã®æ³¨ç®ãéãã¦ãããè£ å¹ãæãããã®ã¯å æ°æ½®ç¤¾è£ å¹å®¤é·ã§ãããã¾ãé³¥ã¯ããã¯ã«ããã1Q84ããªã©æä¸ã®é·ç·¨ä½åãæ å½ãã¦ããé«æ©åè£ããè£ å¹ã¯ãè£ å¹å®¶ãã²ã¨ãã§ã¤ãããã®ã§ã¯ãªããã¨è©±ãé«æ©ãæ å½ç·¨éã®ã²ã¨ãã§
æ害ã«ãªããããªå¾æ¥å¡ã®å¾åã¨ã¯ï¼ ç 究ã§ã¯ãæ害ãªè¡çºã®äºæ¸¬å åã¨ãªãç¹å®ã®æ§æ ¼ã¨è¡åç¹æ§ãæããã«ãã¦ããã èªä¿¡éå°ãèªå·±ä¸å¿çãçç£æ§ãé«ããï¼èªå·±ç³åã«ããï¼è¦åéµå®ã®æå¿ãã¨ããç¹æ§ã示ããå¾æ¥å¡ã¯ãæ害人æã¨ãªãå¯è½æ§ãããé«ããã¨ãããã£ããã¹ãã«ã«å¯¾ããèªä¿¡ã1æ¨æºåå·®å¢ããã¨ãæ害ãªè¡çºã§è§£éãããå¯è½æ§ã¯ç´15ï¼ é«ããªã£ããããå©å·±çã§ä»è ã®ãã¼ãºã«ãã¾ãé¢å¿ãæããªãå¾æ¥å¡ã¯ããã®å¯è½æ§ã22ï¼ é«ãã£ãããè¦åã«ã¯â常ã«âå¾ããªããã°ãªããªããã¨åçããå¾æ¥å¡ã¯ãç¾å®ã«ã¯è¦åéåã§è§£éãããå¯è½æ§ã25ï¼ é«ãã£ããã¾ãããã¼ã å ã«å¥ã®æ害ãªå¾æ¥å¡ããã人ã¯ãåæ§ã«ä¸ç¥¥äºã§è§£éãããå¯è½æ§ã46ï¼ é«ãã£ãã èªä¿¡éå°ã¨ãã«ã·ã·ãºã ãä»äºã®ææã«ãã¤ãã¹ã¨ãªããã¨ã¯ã以åã®è«¸ç 究ã§ã示ããã¦ãããä»å大ããªé©ãã§ãã£ãã®ã¯ããè¦åã«ã¯â常ã«âå¾ãã¹ããã¨ä¿¡ãã¦ãã人ãã
ã¹ãã¼ã¹ã¢ããªã³ã°ãä½é¨ãã¦ã¿ãPythonãRã®ã³ã¼ãã¯ãã¡ãã®ãã¼ã¸ã«ããã¾ã ã¹ãã¼ã¹ã¢ããªã³ã°ã«é¢ãããªã³ã¯éã¹ãã¼ã¹æ¨å®ã«ã¤ãã¦ã®æç§æ¸ï¼ãã¦ã³ãã¼ãå¯ï¼ Statistical Learning with Sparsity: The Lasso and Generalizations å§ç¸®ã»ã³ã·ã³ã°ï¼compressed sensing, æ¬ç¹éã§ã¯å°ããã触ãã¦ããªãã®ã§è£å®ã§ãï¼ ãã¼ã¿ã«ãµã¤ã Emmanuel Candes Preprints in sparse recovery / compressed sensing å§ç¸®ã»ã³ã·ã³ã°ã®æ°çï¼ç°ä¸å©å¹¸ï¼ãPDF ãå¿ç¨æ°çãã®ã¹ãã¼ã¹ç¹éãç®æ¬¡ï¼è«æã¯ãã¦ã³ãã¼ãå¯ï¼ æ°å¦è¡ç 究ãã¹ãã¼ã¹ã¢ããªã³ã°ã®æ·±åã¨é«æ¬¡å ãã¼ã¿é§åç§å¦ã®åµæããã¦ã§ããµã¤ã 天æå±ã®ããã® How to ã¹ãã¼ã¹ã¢ããªã³ã°ï¼æ¤æèª ï¼Â  ï¼æ¤æ
ç£æ¥å»ç§å¤§å¦å»å¦é¨å»å¦ç§åæ¥ãå°éã¯ç£æ¥å»å¦å®åãç£æ¥å»å®åç ä¿®ã»ã³ã¿ã¼ãã¸ã§ã³ã½ã³ã»ã¨ã³ãã»ã¸ã§ã³ã½ã³çµ±æ¬ç£æ¥å»ãçµã¦ãç¾å¨å»çæ³äººç¤¾å£ååä¼ æ¥æ¥ã¯ãªãã㯠ç£æ¥ä¿å¥é¨é ç£æ¥å» ãç¾å¨æ¥ç³»å¤§æä¼æ¥ãå¤è³ç³»ä¼æ¥ããã³ãã£ã¼ä¼æ¥ãç¬ç«è¡æ¿æ³äººãªã©ç´30社ã®ç£æ¥å»æ¥åã«å¾äº ãé»æ³¢ãããª3ãã®ãã¤ããã©ã¼ãã¼ã¯ç²ããªãã¦ãå½ç¶ ã¼é·æéå´ååé¡ããããã«åãæ²æ±°ããã¦ãã¾ãã大室ããã¯ã©ã®ããã«æãã¦ããã£ãããã¾ããã ããã«ã®ãããã24æéæ¦ãã¾ãããã¨æ é¤ããªã³ã¯ã®CMãä¸ä¸ã風é¡ãã¾ãããããããªãã£ããã³ãã¼ãã³ã³ãã©ã¤ã¢ã³ã¹ãéã£ãæ代ã ã£ãã¨ãããã¨ã§ããããã»ãã®30å¹´åã§ããããã ã£ãã®ã§ããããæ代ã®ç§»ãå¤ããã«ãã£ã¦å¸¸èãå¤ãã£ã¦ãããã¨ã示åããã¦ããã¨ãããã¨ã§ãã ä»ãç§ãã¡ã¯å½ããåã®ããã«æºå¡é»è»ã«æºãããçµé»ééã«å¸°å® ãã¦ãã¾ããããã®å¸¸èã¯30å¹´å¾ã®äºº
ãªãªã¼ã¹ãé害æ å ±ãªã©ã®ãµã¼ãã¹ã®ãç¥ãã
ææ°ã®äººæ°ã¨ã³ããªã¼ã®é ä¿¡
j次ã®ããã¯ãã¼ã¯
kåã®ããã¯ãã¼ã¯
lãã¨ã§èªã
eã³ã¡ã³ãä¸è¦§ãéã
oãã¼ã¸ãéã
{{#tags}}- {{label}}
{{/tags}}