標(biāo)題: Titlebook: Knowledge Discovery in Life Science Literature; International Worksh Eric G. Bremer,J?rg Hakenberg,Werner Dubitzky Conference proceedings 2 [打印本頁] 作者: 使入伍 時間: 2025-3-21 18:35
書目名稱Knowledge Discovery in Life Science Literature影響因子(影響力)
書目名稱Knowledge Discovery in Life Science Literature影響因子(影響力)學(xué)科排名
書目名稱Knowledge Discovery in Life Science Literature網(wǎng)絡(luò)公開度
書目名稱Knowledge Discovery in Life Science Literature網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Knowledge Discovery in Life Science Literature被引頻次
書目名稱Knowledge Discovery in Life Science Literature被引頻次學(xué)科排名
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書目名稱Knowledge Discovery in Life Science Literature年度引用學(xué)科排名
書目名稱Knowledge Discovery in Life Science Literature讀者反饋
書目名稱Knowledge Discovery in Life Science Literature讀者反饋學(xué)科排名
作者: 心胸開闊 時間: 2025-3-21 22:28
Alignment of Biomedical Ontologies Using Life Science Literature, algorithm as well as extensions that take the structure of the ontologies into account. We evaluate the strategies and compare them with strategies implemented in the alignment system SAMBO. We also evaluate the combination of the proposed strategies and the SAMBO strategies.作者: needle 時間: 2025-3-22 01:48 作者: barium-study 時間: 2025-3-22 08:23
Detecting Invalid Dictionary Entries for Biomedical Text Mining,iants based on the information from external resources and use this dictionary for the term aggregation. However, in this automatically generated dictionary, there are many invalid entries that have negative effects on the calculations of keyword frequencies. In this paper, we propose and test methods to detect invalid entries in the dictionary.作者: 構(gòu)想 時間: 2025-3-22 12:24 作者: harpsichord 時間: 2025-3-22 14:49 作者: 萬神殿 時間: 2025-3-22 18:48
Improving Literature Preselection by Searching for Images,s in a search engine, allowing easy and quick quality assessment without having to read through the whole paper. The images are found by their annotation in the paper: the figure caption. To identify that, we analyse the layout of the paper: the position of the image and the surrounding text.作者: Ballerina 時間: 2025-3-22 21:35
A Tree Kernel-Based Method for Protein-Protein Interaction Mining from Biomedical Literature,tor machine classifier is combined with the tree kernel and trained on predefined interaction corpus and set of interaction patterns. Experimental results show that the proposed method gives promising results by utilizing the structure patterns.作者: 討厭 時間: 2025-3-23 05:07 作者: 四目在模仿 時間: 2025-3-23 05:32 作者: interrogate 時間: 2025-3-23 12:55
Manabu Torii,Hongfang Liuets are also covered..Geometrical Multiresolution Adaptive Transforms. should be accessible to both mathematicians and computer scientists. It is suitable as a professional reference for students, researchers and engineers, containing many open problems and will be an excellent starting point for th作者: 管理員 時間: 2025-3-23 17:17 作者: 虛度 時間: 2025-3-23 19:28 作者: 率直 時間: 2025-3-24 01:08
Hironori Takeuchi,Issei Yoshida,Yohei Ikawa,Kazuo Iida,Yoko Fukuiequences. The subconscious must then have time to work its magic and adjust to the new circumstances. It is assumed here that this stage has already been completed. In the second approach to the subject, beginning now, one considers the whole discipline ., building up a structure in terms of those c作者: 烤架 時間: 2025-3-24 05:35
Kang Ning,Hon Nian Chuaequences. The subconscious must then have time to work its magic and adjust to the new circumstances. It is assumed here that this stage has already been completed. In the second approach to the subject, beginning now, one considers the whole discipline ., building up a structure in terms of those c作者: yohimbine 時間: 2025-3-24 10:17
Jeyakumar Natarajan,Cliff Haines,Brian Berglund,Catherine DeSesa,Catherine J. Hack,Werner Dubitzky,Egures, the most fundamental one being the class of convex-bodies. Obviously, the condition of convexity is a restriction which can hardly ever meet the practical situation found in biological research. As a consequence of this, a new and very general class of figures is introduced for which the Mink作者: 咆哮 時間: 2025-3-24 12:40
Jae-Hong Eom,Sun Kim,Seong-Hwan Kim,Byoung-Tak Zhange to both mathematicians and computer scientists. It is suitable as a professional reference for students, researchers and engineers, containing many open problems and will be an excellent starting point for th978-3-319-37714-8978-3-319-05011-9Series ISSN 1860-949X Series E-ISSN 1860-9503 作者: thrombus 時間: 2025-3-24 15:18
Nazife Dimililer,Ekrem Varo?lue to both mathematicians and computer scientists. It is suitable as a professional reference for students, researchers and engineers, containing many open problems and will be an excellent starting point for th978-3-319-37714-8978-3-319-05011-9Series ISSN 1860-949X Series E-ISSN 1860-9503 作者: 異端邪說下 時間: 2025-3-24 19:57 作者: 使長胖 時間: 2025-3-24 23:45
Yu-Chieh Wu,Teng-Kai Fan,Yue-Shi Lee,Show-Jane Yen作者: 官僚統(tǒng)治 時間: 2025-3-25 07:17 作者: Collected 時間: 2025-3-25 08:21
Extracting Protein-Protein Interactions in Biomedical Literature Using an Existing Syntactic Parseracting proteins, we make sentences simple by substituting some words like named entities, nouns into one word. Then parsing errors are reduced and parsing precision is increased by this sentence simplification. We parse the simplified sentences syntactically with an existing syntactic parser and ext作者: Meager 時間: 2025-3-25 12:46 作者: jarring 時間: 2025-3-25 18:31 作者: 乞討 時間: 2025-3-25 22:52
978-3-540-32809-4Springer-Verlag Berlin Heidelberg 2006作者: 場所 時間: 2025-3-26 04:05
Knowledge Discovery in Life Science Literature978-3-540-32810-0Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 我不怕犧牲 時間: 2025-3-26 06:17
0302-9743 Overview: 978-3-540-32809-4978-3-540-32810-0Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Palter 時間: 2025-3-26 10:23 作者: Immobilize 時間: 2025-3-26 13:47 作者: 合唱團 時間: 2025-3-26 16:52 作者: AXIS 時間: 2025-3-26 23:10 作者: 吸引人的花招 時間: 2025-3-27 05:05 作者: evaculate 時間: 2025-3-27 07:44
Nazife Dimililer,Ekrem Varo?luems in the area of geometrical multiresolution methods of im.Modern image processing techniques are based on multiresolution geometrical methods of image representation. These methods are efficient in sparse approximation of digital images. There is a wide family of functions called simply ‘X-lets’,作者: 騷擾 時間: 2025-3-27 10:03 作者: 收到 時間: 2025-3-27 15:35
Hyunchul Jang,Jaesoo Lim,Joon-Ho Lim,Soo-Jun Park,Seon-Hee Park,Kyu-Chul Lee Teachers avoid the subject because its use for many generations in arid mathematical exercises has robbed it of all freshness and stimulus, with the result that it no longer seems relevant to a modern physics course. There remains - and perhaps this has grown in recent year- the technical significa作者: Processes 時間: 2025-3-27 19:35
Hironori Takeuchi,Issei Yoshida,Yohei Ikawa,Kazuo Iida,Yoko Fukuime behind one of Newtonian intuitions, preconceptions (the most significant of the pre-relativistic prejudices is the belief in absolute time), concepts, habits and shortcuts in thinking, some appropriate only to pre-relativity which must be identified and abandoned (not always a quick process), but作者: 責(zé)問 時間: 2025-3-27 23:49 作者: Expiration 時間: 2025-3-28 02:43 作者: 讓你明白 時間: 2025-3-28 08:50 作者: HUMID 時間: 2025-3-28 11:09 作者: 尋找 時間: 2025-3-28 15:02
Improving Literature Preselection by Searching for Images,election is needed as a way to compensate for the vast amounts of literature that are available. While searching for DNA binding sites for example, we wanted to add the results of specific experiments (DNAse I footprint and EMSA) to our database. The preselection via abstract search was very unspeci作者: 開始發(fā)作 時間: 2025-3-28 19:14 作者: 范例 時間: 2025-3-29 02:08
A Tree Kernel-Based Method for Protein-Protein Interaction Mining from Biomedical Literature, biomedical research. Even though current databases continue to update new protein-protein interactions, valuable information still remains in biomedical literature. Thus data mining techniques are required to extract the information. In this paper, we present a tree kernel-based method to mine prot作者: Physiatrist 時間: 2025-3-29 06:16 作者: 抱怨 時間: 2025-3-29 11:09
Investigation of the Changes of Temporal Topic Profiles in Biomedical Literature,rofiles for the same topic at the two different periods, we find that the temporal profiles for a topic at the new period may result from three kinds of concepts replacements of the temporal profiles at the old period, namely broad replacement, parallel replacement and narrow replacement. Such findi作者: cutlery 時間: 2025-3-29 14:28
Extracting Protein-Protein Interactions in Biomedical Literature Using an Existing Syntactic Parsermed entities and their relationships, especially protein names and protein-protein interactions. We are adopting methods including natural language processing, machine learning, and text processing. But we are not developing a new tagging or parsing technique. Developing a new tagger or a new parser作者: Hemodialysis 時間: 2025-3-29 17:42
Extracting Named Entities Using Support Vector Machines,names in natural language text is a named entity recognition (NER) task. Previous studies focus on combining abundant human made rules, trigger words, to enhance the system performance. However these methods require domain experts to build up these rules and word set which relies on lots of human ef作者: 浸軟 時間: 2025-3-29 23:46
