About: interactive machine learning

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An Entity of Type : wikibase:Item, within Data Space : wikidata.demo.openlinksw.com associated with source document(s)

machine learning that interacts will humans

Attributes	Values
rdf:type	Item
description	machine learning that interacts will humans (en)
rdfs:label	aprendizagem de máquina interativa (pt) aprendizagem de máquina interativa (pt-br) interactive machine learning (en) interaga maŝina lernado (eo) interaktiv maskinlæring (da)
skos:prefLabel	aprendizagem de máquina interativa (pt) aprendizagem de máquina interativa (pt-br) interactive machine learning (en) interaga maŝina lernado (eo) interaktiv maskinlæring (da)
name	aprendizagem de máquina interativa (pt) aprendizagem de máquina interativa (pt-br) interactive machine learning (en) interaga maŝina lernado (eo) interaktiv maskinlæring (da)
subclass of	wds:Q51666139-a2197e1c-49de-8bbe-86fb-edc9f664da90
subclass of	machine learning
skos:altLabel	human-in-the-loop machine learning (en) interactive learning (en) interactive machine learning (da)
different from	wds:Q51666139-83b9d5eb-45e6-1f7e-a547-8038ab3ea080
different from	interactive learning
is field of work of	Andreas Holzinger
is field of work of	wds:Q498177-0ed278f9-4cdb-51ea-a34d-1d12c1dcd2f5
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q51666139
is pr:P3452 of	wdref:e980768b3fe2afad7eeb674b925b50b2cab13bb2
is main subject of	JAABA: interactive machine learning for automatic annotation of animal behavior Interactive topic modeling Interactive machine learning for health informatics: when do we need the human-in-the-loop? Towards interactive Machine Learning (iML): Applying Ant Colony Algorithms to Solve the Traveling Salesman Problem with the Human-in-the-Loop Approach Knowledge Discovery and Data Mining in Biomedical Informatics: The Future Is in Integrative, Interactive Machine Learning Solutions ilastik: interactive machine learning for (bio)image analysis BaobabView: Interactive construction and analysis of decision trees Safe Exploration for Interactive Machine Learning Interactive Machine Learning by Visualization: A Small Data Solution Interactive optimization for steering machine classification Putting the Scientist in the Loop -- Accelerating Scientific Progress with Interactive Machine Learning Concept of Interactive Machine Learning in Urban Design Problems Interactive machine learning Reasoning Under Uncertainty: Towards Collaborative Interactive Machine Learning INTERACTIVE MACHINE LEARNING TOOLS FOR DATA ANALYSIS Interactive machine learning: letting users build classifiers Interactive machine learning: experimental evidence for the human in the algorithmic loop Interactive machine learning for soybean seed and seedling quality classification Interactive Machine Learning (iML) Interacting meaningfully with machine learning systems: Three experiments Leveraging Human Inputs in Interactive Machine Learning for Human Robot Interaction Power to the People: The Role of Humans in Interactive Machine Learning Constructivist Design for Interactive Machine Learning A glass-box interactive machine learning approach for solving NP-hard problems with the human-in-the-loop Digital Libraries: Electronic Bibliographic Resources on Basic Education Principles of Explanatory Debugging to Personalize Interactive Machine Learning Free amino acids in African indigenous vegetables: Analysis with improved hydrophilic interaction ultra-high performance liquid chromatography tandem mass spectrometry and interactive machine learning Interactive Machine Learning for Laboratory Data Integration Interactive machine learning for fast and robust cell profiling A General Framework for Robust Interactive Learning
is main subject of	wds:Q90391323-C161B648-6FBA-4FB1-991B-129884642F2F wds:Q76470136-ed54c0d6-4402-fea2-b1e8-d4d54be5a570 wds:Q91809731-AEE5D9D6-C94A-4521-ABA1-CCBFBAF3D793 wds:Q56881290-2F11BD6E-2478-4333-A0C2-66315E6FF624 wds:Q59869109-625D24EE-7C88-43CC-B648-5FED97FA2D8C wds:Q58886353-55CFCF0F-5B5D-4CA1-AED1-7CC121EC6BEC wds:Q62512935-97D2B101-3309-4D10-B8AD-AE3D9C93A701 wds:Q51672903-9872a9ba-4ab3-cfec-954b-5142a2c6409d wds:Q97538966-035B4ADB-65B6-4377-BEFF-1A2CF1A09AB3 wds:Q43420134-cbfce0cd-4bb0-18a7-5de8-beed8b7657d6 wds:Q51673823-89b2d2c5-45cf-3d97-ed34-f6164b6c1d01 wds:Q51673914-d8eed004-48cd-67ac-2d58-476e0f3da9fc wds:Q59308213-167883CC-64E5-45F6-8E7B-EDA692F9D3BE wds:Q56454147-7151EEB8-6BC7-4AA6-A3A5-A2E2D63B498D wds:Q51666041-19e8af9d-485a-d2bc-e0eb-7c9e32e1e265 wds:Q84414917-C17075C7-45D9-41B0-B831-E8FFB1887B04 wds:Q102362842-B5C04CDB-F42A-4F79-A2E8-6DE31745882D wds:Q28602093-e6865459-4ab9-9cef-56aa-d5cc4e37a413 wds:Q57485865-E9C083C2-FF7E-4D2B-8040-5A4A80FCE00B wds:Q62044188-7CA763CE-DDDC-4F77-A784-DFBF9ADED04D wds:Q58886334-984C12FC-547D-47B1-85FA-08B44A8CE191 wds:Q58886359-FB69E07F-4BB0-4E9B-BA5F-8E1B4ECD94DD wds:Q51686853-a7a128b8-4e19-4b79-2d8d-d8798e320315 wds:Q55360862-dc0bcd67-4f54-1076-57e2-7e6e84c87b3c wds:Q51673889-2caa08c9-4ca0-6f69-fd5f-afe92abb6eff wds:Q104691681-DD2DE666-748A-4619-B8E7-25C36EE7C420 wds:Q92778388-D7D7809F-D415-496E-A6B1-FDD29B787328 wds:Q99355895-F427A904-2A00-4517-9B5A-5DB592EC5648 wds:Q44653984-10b3418f-4e48-d003-7206-7585096960f2 wds:Q55360809-c047569d-49be-ddbe-2d85-f202c1f07529
is different from of	interactive learning
is different from of	wds:Q6045290-085AB290-2A80-4DBB-A3A3-C19CB1AE261C

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