\u7b2c15\u56de\uff32\uff21\uff2d\uff30\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u3000<\/p>\n
\u30d7\u30ed\u30b0\u30e9\u30e0\uff1a<\/p>\n
\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501<\/p>\n
1. 9\u670825\u65e5 10:00-13:00 \u975e\u7dda\u5f62\u6700\u9069\u5316\u3068\u305d\u306e\u5468\u8fba
\n\u3000\u30aa\u30fc\u30ac\u30b6\u30a4\u30b6\uff1a \u77e2\u90e8 \u535a (\u6771\u4eac\u7406\u79d1\u5927\u5b66)<\/p>\n
1-1. “ Approximating the radii of point sets based on semidefinite programming ”
\n\u3000\u3000Yinyu Ye (Stanford University)
\n1-2. \u300c\uff12\u6b21\u9310\u8a08\u753b\u6cd5\u3068\u305d\u306e\u5fdc\u7528\u300d
\n\u3000\u3000\u6751\u677e \u6b63\u548c (\u96fb\u6c17\u901a\u4fe1\u5927\u5b66)
\n1-3. \u300c\u30b5\u30dd\u30fc\u30c8\u30d9\u30af\u30bf\u30fc\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u7406\u8ad6\u3068\u5b9f\u88c5\u300d
\n\u3000\u3000\u77e2\u5cf6\u3000\u5b89\u654f\u3000(\u6771\u4eac\u5de5\u696d\u5927\u5b66\uff09<\/p>\n
\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501<\/p>\n
2. 9\u670825\u65e5 14:30-17:30 \u30d0\u30a4\u30aa\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30af\u30b9\u3068\u7d71\u8a08\u79d1\u5b66
\n\u3000\u30aa\u30fc\u30ac\u30b6\u30a4\u30b6\uff1a \u4e0b\u5e73 \u82f1\u5bff (\u6771\u4eac\u5de5\u696d\u5927\u5b66)<\/p>\n
2-1. \u30de\u30eb\u30c1\u30b9\u30b1\u30fc\u30eb\u30d6\u30fc\u30c8\u30b9\u30c8\u30e9\u30c3\u30d7\u306b\u3088\u308b\u4e0d\u504f\u306a\u78ba\u7387\u5024\u8a08\u7b97\u3068\u305d\u306e\u5fdc\u7528
\n\u3000\u3000\u4e0b\u5e73 \u82f1\u5bff (\u6771\u4eac\u5de5\u696d\u5927\u5b66)
\n2-2. “Feature selection in support vector machines and its applications in bioinformatics”
\n\u3000\u3000\u6234 \u967d (Yang Dai, University of Illinois at Chicago)
\n2-3. \u300c\u907a\u4f1d\u5b50\u767a\u73fe\u30c7\u30fc\u30bf\u306b\u57fa\u3065\u304f\u907a\u4f1d\u5b50\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u63a8\u5b9a\u300d
\n\u3000\u3000\u4e95\u5143 \u6e05\u54c9 (\u6771\u4eac\u5927\u5b66)
\n2-4. \u300c\u78ba\u7387\u30e2\u30c7\u30eb\u63a8\u5b9a\u306b\u3088\u308b\u907a\u4f1d\u5b50\u767a\u73fe\u89e3\u6790\u300d
\n\u3000\u3000\u77f3\u4e95 \u4fe1 (\u5948\u826f\u5148\u7aef\u79d1\u5b66\u6280\u8853\u5927\u5b66\u9662\u5927\u5b66)<\/p>\n
\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501<\/p>\n
3. 9\u670826\u65e5 9:30-12:30\u5927\u898f\u6a21\u7d44\u5408\u305b\u6700\u9069\u5316\u554f\u984c\u3078\u306e\u6311\u6226
\n\u3000\u3000\u30aa\u30fc\u30ac\u30ca\u30a4\u30b6\uff1a \u5b87\u91ce \u6bc5\u660e (\u56fd\u7acb\u60c5\u5831\u5b66\u7814\u7a76\u6240)<\/p>\n
3-1. \u300c\u8fd1\u4f3c\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u8a71\u984c\uff1aMAX SAT(\u6700\u5927\u5145\u8db3\u5316\u554f\u984c)\u3092\u4e2d\u5fc3\u3068\u3057\u3066\u300d
\n\u3000\u3000\u6d45\u91ce \u5b5d\u592b (\u4e2d\u592e\u5927\u5b66)
\n3-2. \u300c\u9078\u6319\u533a\u6700\u9069\u533a\u5272\u554f\u984c\u306e\u30e2\u30c7\u30ea\u30f3\u30b0\u3068\u53b3\u5bc6\u89e3\u5c0e\u51fa\u300d
\n\u3000\u3000\u6839\u672c \u4fca\u7537, \u5800\u7530 \u656c\u4ecb(\u6587\u6559\u5927\u5b66)
\n3-3. \u300c\u4e0d\u78ba\u5b9f\u306a\u4e8b\u696d\u74b0\u5883\u4e0b\u306b\u304a\u3051\u308b\u8a2d\u5099\u6295\u8cc7\u8a08\u753b\u624b\u6cd5\u300d
\n\u3000\u3000\u6b66\u7530 \u6717\u5b50\u3001\u7530\u53e3 \u4fca\u4ecb(\u6771\u4eac\u5de5\u696d\u5927\u5b66)\u3001
\n\u3000\u3000\u5185\u5e73 \u76f4\u5fd7\u3001\u4e2d\u672c \u653f\u5fd7\u3001\u677e\u672c \u8302(\u6771\u829d)
\n3-4. \u300c\u5b9f\u4e16\u754c\u306e\u8907\u96d1\u30fb\u5927\u898f\u6a21\u306a\u914d\u9001\u8a08\u753b\u306b\u5bfe\u3059\u308b\u73fe\u5b9f\u7684\u306a\u30a2\u30d7\u30ed\u30fc\u30c1\u300d
\n\u3000\u3000 \u6734 \u6210\u6d69 (\u30e9\u30a4\u30ca\u30fb\u30ed\u30b8\u30af\u30b9)<\/p>\n
\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501<\/p>\n
4. 9\u670826\u65e5 14:00-17:00\u65e5\u7c73\u52a0\u30fb\u6700\u9069\u5316\u30ed\u30b8\u30b9\u30c6\u30a3\u30af\u30b9
\n\u3000\u30aa\u30fc\u30ac\u30b6\u30a4\u30b6\uff1a \u4f0a\u5009 \u7fa9\u90ce ((\u682a)\u30b5\u30a4\u30c6\u30c3\u30af\u30fb\u30b8\u30e3\u30d1\u30f3)<\/p>\n
4-1. “Perfecting the scheduled railroad: Model-driven operating plan development”
\n\u3000\u3000John Fallis, Phil Ireland, Rod Case (Canadian Pacific Railway)
\n\u3000\u3000Carl Van Dyke, Marc Meketon* (MultiModal Applied System)
\n4-2. \u300c\u5927\u53e3\u9867\u5ba2\u3078\u306e\u5206\u5272\u914d\u9001\u3092\u4f34\u3046\u914d\u9001\u8a08\u753b\u554f\u984c\u3068\u305d\u306e\u5b9f\u7528\u7684\u89e3\u6cd5\u300d
\n\u3000\u3000\u4e2d\u5c3e \u82b3\u9686 (\u30ad\u30e4\u30ce\u30f3\u30b7\u30b9\u30c6\u30e0\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3\u30ba\u682a\u5f0f\u4f1a\u793e)
\n4-3. \u300c\u6700\u9069\u62e0\u70b9\u914d\u7f6e\u3068\u914d\u8eca\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u306e\u6d3b\u7528\u4e8b\u4f8b\u300d
\n\u3000\u3000 \u96e8\u5bae\u6771\u4e00\u90ce (\u3231\u7af9\u4e2d\u5de5\u52d9\u5e97)
\n4-4. “Transportation planning by SBIDS:\u3000Optimal assignment of lanes to carriers”
\n\u3000\u3000Yoshiro Ikura, Narameth Nananukul (SAITECH, Inc.)<\/p>\n
\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501<\/p>\n","protected":false},"excerpt":{"rendered":"
\u7b2c15\u56de\uff32\uff21\uff2d\uff30\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u3000 \u30d7\u30ed\u30b0\u30e9\u30e0\uff1a \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 1. 9\u670825\u65e5 10:00-13:00 \u975e\u7dda\u5f62\u6700\u9069\u5316\u3068\u305d\u306e\u5468\u8fba \u3000\u30aa\u30fc\u30ac\u30b6\u30a4\u30b6\uff1a \u77e2\u90e8 \u535a (\u6771\u4eac […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":11,"menu_order":37,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_mc_calendar":[]},"_links":{"self":[{"href":"https:\/\/orsj.org\/ramp\/wp-json\/wp\/v2\/pages\/49"}],"collection":[{"href":"https:\/\/orsj.org\/ramp\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/orsj.org\/ramp\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/orsj.org\/ramp\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/orsj.org\/ramp\/wp-json\/wp\/v2\/comments?post=49"}],"version-history":[{"count":2,"href":"https:\/\/orsj.org\/ramp\/wp-json\/wp\/v2\/pages\/49\/revisions"}],"predecessor-version":[{"id":51,"href":"https:\/\/orsj.org\/ramp\/wp-json\/wp\/v2\/pages\/49\/revisions\/51"}],"up":[{"embeddable":true,"href":"https:\/\/orsj.org\/ramp\/wp-json\/wp\/v2\/pages\/11"}],"wp:attachment":[{"href":"https:\/\/orsj.org\/ramp\/wp-json\/wp\/v2\/media?parent=49"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}