Semi-Supervised Learning (Chapelle et al., 2006)ã®Chapter 2èªã‚“ã - Fire and MotionA Taxonomy for Semi-Supervised Learning Methods Seeger, M. Ch 2(pp.15-31)ã‚‚ã©ã¡ã‚‰ã‹ã¨ã„ã†ã¨overviewã£ã½ã„．åŠæ•™å¸«ã‚ã‚Šå¦ç¿’ã®åˆ†é¡žã«ã¤ã„ã¦æ›¸ã‹ã‚Œã¦ã„る．相変ã‚らãšç°¡å˜ãªã¾ã¨ã‚メモ＋é©å½“ãªæ„訳ã‚り．ã‚ã¨ã¯ã¦ãƒ€ã®æ•°å¼ãŒç¶ºéº—ã§ã¯ãªã„ã®ã§ï¼Œå°‘ã—ãŒã‚“ã°ã£ã¦ã¿ãŸï¼Žã¯ã¦ãªãƒ–ãƒã‚°ã®æ–¹ãŒæ•°å¼ç¶ºéº—らã—ã„ã®ã§ä¹—ã‚Šæ›ãˆã‚ˆã†ã‹ãªã…． 1. The Semi-Supervised Learning Problem åŠæ•™å¸«ã‚ã‚Šå¦ç¿’ã«ã¯2ã¤ã®åŸºæœ¬çš„手法ãŒã‚ã‚‹ unlabeled dataを無視ã—ãŸæ•™å¸«ã‚り分類å•é¡Œ 2. Paradigms for Semi-Supervised learning åŠæ•™å¸«ã‚ã‚Šå¦ç¿’ã¯æ•™å¸«ã‚ã‚Šå¦ç¿’ã®ãƒ†ã‚¯ãƒ‹ãƒƒã‚¯ãªã®ã§ï¼Œå½“然生æˆãƒ¢ãƒ‡ãƒ«çš„アプãƒãƒ¼ãƒã¨è˜åˆ¥ãƒ¢ãƒ‡ãƒ«çš„アプãƒãƒ¼ãƒã«åˆ†é¡žã§ãã‚‹ ã“ã®ç¯€ã§ã¯çµ±è¨ˆå¦ã‚„機械å¦ç¿’ã§ã‚ˆã用ã„
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