{"created":"2025-01-19T00:04:14.818948+00:00","updated":"2025-01-21T02:36:30.031742+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00124295","sets":["6504:8043:8048"]},"path":["8048"],"owner":"1","recid":"124295","title":["ボルツマンマシンにおける並列性の抽出"],"pubdate":{"attribute_name":"公開日","attribute_value":"1993-09-27"},"_buckets":{"deposit":"dafd4f6e-f789-4e67-8959-21af868380f4"},"_deposit":{"id":"124295","pid":{"type":"depid","value":"124295","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"ボルツマンマシンにおける並列性の抽出","author_link":[],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ボルツマンマシンにおける並列性の抽出"},{"subitem_title":"Extraction of parallelism from Boltzmann Machine","subitem_title_language":"en"}]},"item_type_id":"22","publish_date":"1993-09-27","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"九州大学"},{"subitem_text_value":"九州大学"},{"subitem_text_value":"九州大学"},{"subitem_text_value":"九州大学"}]},"item_22_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Kyushu University","subitem_text_language":"en"},{"subitem_text_value":"Kyushu University","subitem_text_language":"en"},{"subitem_text_value":"Kyushu University","subitem_text_language":"en"},{"subitem_text_value":"Kyushu University","subitem_text_language":"en"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/124295/files/KJ00001338980.pdf"},"date":[{"dateType":"Available","dateValue":"1993-09-27"}],"format":"application/pdf","filename":"KJ00001338980.pdf","filesize":[{"value":"174.5 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"e88ef4e6-5aae-4494-940b-0de31d84991b","displaytype":"detail","licensetype":"license_note"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"ボルツマンマシンは最小値を探索する確率的なモデルである。一般的にその動作は「ランダムにひとつニューロンが選ばれ、そのニューロンは結合を持つ(おなじ制約に属する)すべてのニューロンの状態値を参照し、自分の次の状態値を確率的に決定する。状態を更新したニューロンは、直ちに自分の活性値を直接結合する他のニューロンに送る。その後、次のニューロンが選ばれ、同様に状態を更新するという動作を繰り返す。」と定式化される。しかしボルツマンマシンをデータの依存関係に基づいて解析すると、ボルツマンマシンの制約は局所的であるため、依存関係を持たないニューロンどうしは並列に実行しても構わないことがわかる。そこで本論文では、前述の観点からボルツマンマシンの並列性の抽出方法を提案し、そのときの実行時間を確率モデルを用いて求める。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"224","bibliographic_titles":[{"bibliographic_title":"全国大会講演論文集"}],"bibliographicPageStart":"223","bibliographicIssueDates":{"bibliographicIssueDate":"1993-09-27","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"人工知能及び認知科学","bibliographicVolumeNumber":"第47回"}]},"relation_version_is_last":true,"weko_creator_id":"1"},"id":124295,"links":{}}