【論文解説】Richer Interpolative Smoothing Based on Modified Kneser-Ney Language Modeling 文責:菊地真人 著者:Ehsan Shareghi, Trevor Cohn, Gholamreza Haffari 会議名:EMNLP 2016 開催年:2016 (more…) 関連記事はこちら 【論文解説】A Generalized Language Model as the Combination of Skipped n-grams and Modified Kneser-Ney Smoothing 【論文解説】Richer Interpolative Smoothing Based on Modified Kneser-Ney Language Modeling 【論文解説】Learning Certifiably Optimal Rule Lists 【論文解説】Kneser-Ney Smoothing on Expected Counts 動的計画法がわかる!ダイクストラ法の実装(Python)や問題への適用手順
【論文解説】Learning Certifiably Optimal Rule Lists 文責:菊地真人 著者:Elaine Angelino, Nicholas Larus-Stone, Daniel Alabi, Margo Seltzer, Cynthia Rudin 会議名:SIGKDD 2017 開催年:2017 (more…) 関連記事はこちら 【論文解説】A Generalized Language Model as the Combination of Skipped n-grams and Modified Kneser-Ney Smoothing 【論文解説】Richer Interpolative Smoothing Based on Modified Kneser-Ney Language Modeling 【論文解説】Learning Certifiably Optimal Rule Lists 【論文解説】Kneser-Ney Smoothing on Expected Counts 動的計画法がわかる!ダイクストラ法の実装(Python)や問題への適用手順