about
Signs & symptoms of Dextromethorphan exposure from YouTubeLarge scale biomedical texts classification: a kNN and an ESA-based approachesBiomedical literature classification using encyclopedic knowledge: a Wikipedia-based bag-of-concepts approachTowards semantically sensitive text clustering: a feature space modeling technology based on dimension extensionMeasuring semantic relatedness between Flickr images: from a social tag based viewHealth recommender systems: concepts, requirements, technical basics and challengesHealth-related hot topic detection in online communities using text clusteringEvaluating Link-based Recommendations for WikipediaBeyond the schools of psychology 1: a digital analysis of Psychological Review, 1894-1903.Leveraging cues from person-generated health data for peer matching in online communities.On the convergence of nanotechnology and Big Data analysis for computer-aided diagnosis.A novel procedure on next generation sequencing data analysis using text mining algorithm.Prediction of new drug indications based on clinical data and network modularity.Integrating Clinical Phenotype and Gene Expression Data to Prioritize Novel Drug UsesThe dimensionality of discourse.Effect of tuned parameters on an LSA multiple choice questions answering model.Gene prioritization for livestock diseases by data integration.An intelligent content discovery technique for health portal content management.Combining position weight matrices and document-term matrix for efficient extraction of associations of methylated genes and diseases from free textGlobal meta-analysis of transcriptomics studies.Mapping knowledge domains: characterizing PNASSORTA: a system for ontology-based re-coding and technical annotation of biomedical phenotype data.Consolidating Russia and Eurasia Antibiotic Resistance Data for 1992-2014 Using Search Engine.Learning Effective Connectivity Network Structure from fMRI Data Based on Artificial Immune Algorithm.An information-theoretic model for link prediction in complex networks.Dictionaries and distributions: Combining expert knowledge and large scale textual data content analysis : Distributed dictionary representation.Relevance popularity: A term event model based feature selection scheme for text classification.A feature selection approach based on term distributions.Prediction of miRNA-disease associations with a vector space modelAutomating the generation of lexical patterns for processing free text in clinical documents.Ontology-Driven Search and Triage: Design of a Web-Based Visual Interface for MEDLINE.Semantic Health Knowledge Graph: Semantic Integration of Heterogeneous Medical Knowledge and Services.Beyond the schools of psychology 2: a digital analysis of psychological review, 1904-1923.Prioritization of candidate genes for cattle reproductive traits, based on protein-protein interactions, gene expression, and text-mining."What is relevant in a text document?": An interpretable machine learning approach.NoGOA: predicting noisy GO annotations using evidences and sparse representation.Fracture Mechanics Method for Word Embedding Generation of Neural Probabilistic Linguistic Model.Latent semantic analysis.The integrated disease network.Comparing methods for single paragraph similarity analysis.
P2860
Q28539718-1C7EB209-BEC1-485E-902D-0FBB4121B954Q28601102-99D3C185-B699-4601-A99C-618366DF04F0Q28606957-417140FA-3DD2-4F22-AF55-B979CFCE7DCBQ28652072-0C549472-4A55-4CDC-9799-00DC5C87E39BQ28657817-37968B1F-5A76-4736-B3AC-5846098B0321Q28660587-37CA3124-81EF-444C-9C4C-37CD7C46C5BFQ28708919-2AB0FB81-E2BB-4133-BDEC-C3D1D531F1FFQ29475439-8CB2EC45-A5E0-4C05-9EDC-34A08ACAC76EQ30427442-0528CA3A-AE10-4AD3-91BE-E1603A58E121Q30770048-99514241-D263-4C8B-8E4A-4DF2D10C12B8Q31058826-7A0BE118-3B45-4436-9760-320E220394F8Q31095991-8C5BB1BA-746C-4DB5-BFB1-DB866925F675Q31133470-5DC3A74D-378B-44C1-8834-036CF9585286Q31143112-1BDC64F9-3D4F-4FEB-8125-23DC5E336AECQ33740044-E8CE6D6B-DA37-47EE-9A8C-5A9CF88AB356Q34020090-A1361F5D-645B-4D5F-8DB2-D1414ED9725CQ34123385-07D2AB41-C7A7-49FC-957B-01AE65EBCA04Q34881776-69AB52EE-4B21-4C90-85BB-F1C0F357170FQ35023466-3733F4A3-B13C-486E-92A2-1E129D4E4852Q35107050-E0552F1C-189B-4302-82DD-4BA60A5B7E4EQ35667134-91A73AC0-B2ED-4866-9585-CACAE229ABC7Q35780898-BF724CE4-7CD0-466E-ACD0-A9F1A378DDD8Q35970065-335FBEC3-75A9-4410-89CA-578ACE91B9CBQ35979575-14F3FF93-7286-463B-AAF1-3297D7C622F1Q36022490-49C104DD-84E8-4F9E-9AA1-D1140410BF19Q36330689-D6875ED5-63FA-46DA-8422-F60AB5A75A4AQ36335844-35E2A6C3-5780-466C-AC91-603C40C24E68Q36632398-27B31E02-461F-48C4-AAFE-A52549818B14Q36953740-B18CCF67-83D0-4991-925B-5F8D1EC6AAA7Q37179407-60997927-39A6-4609-89BC-96F945D2C2E1Q37648191-2617A4F9-6819-47FC-BFFF-81620197047EQ37680887-69E33DA6-E19E-4130-9F43-301C0EE9E204Q38218750-83DDE445-9D7F-48F9-BAB7-70D19A674AF6Q38316455-FAFBA0ED-2212-4405-9A8C-699530C0C3EAQ38372353-5B567530-CFBB-4E83-A8E5-8B78485C458AQ38372965-07F2A10D-099A-4381-9EE6-F30C5FFBEC2AQ38386893-FE8610F7-E234-4FE0-915E-6ADC9484396AQ38442195-6C4D62D3-B6F9-47C3-B518-088D7CEA38BCQ38473775-8DB02F87-32B4-45F7-B5AD-BC7611C49A9DQ38496327-0EDC3D8F-82D0-4064-8552-0F3AB3A6B6E4
P2860
description
1975 nî lūn-bûn
@nan
1975年の論文
@ja
1975年学术文章
@wuu
1975年学术文章
@zh
1975年学术文章
@zh-cn
1975年学术文章
@zh-hans
1975年学术文章
@zh-my
1975年学术文章
@zh-sg
1975年學術文章
@yue
1975年學術文章
@zh-hant
name
A vector space model for automatic indexing
@en
A vector space model for automatic indexing
@nl
type
label
A vector space model for automatic indexing
@en
A vector space model for automatic indexing
@nl
prefLabel
A vector space model for automatic indexing
@en
A vector space model for automatic indexing
@nl
P356
P1476
A vector space model for automatic indexing
@en
P2093
P304
P3332
P356
10.1145/361219.361220
P407
P577
1975-11-01T00:00:00Z