kiri wagstaff zrdawoslaeyqjplnasagov machine learning space extending reach special issue machine learning journal amy mcgovern kiri l wagstaff guest editors url httpwwwwkiricomml4space submission deadline march 31 2008 machine learning used significantly expand capabilities remote agents operating space missions example spacecraft could intelligently filter observations make best use available bandwidth rovers learning capabilities could thoroughly quickly explore new environments autonomous robots play key role creating successful human presence moon mars humans arrive collaboration humans site however care must exercised applying developing techniques truly operate without human intervention risks possible safety implications need well understood purpose special issue collect recent advances machine learning remote space planetary environments identify novel space applications machine learning could significantly increase capabilities robustness andor efficiency key topics interest include perform machine learning highrisk remote environment learning resource constraints memory computation etc multiinstrument machine learning multimission machine learning novel applications uses machine learning space evaluate validate machine learning methods prior deployment onboard spacecraft methods safe realtime learning methods trade exploration exploitation given mission science goals safetyreliability requirements methods reducing risk increasing acceptance machine learning space flight missions survey spaceborne machine learning accomplishments case cfp looks familiar solicited papers special issue earlier year avoid conflicts relevant conference paper deadlines extended revision period papers enough consider additional novel submissions accepted papers combined single special issue would like submit please email us brief summary paper concept feedback submissions expected represent highquality significant contributions area machine learning algorithms andor applications authors follow standard formatting guidelines machine learning manuscripts administrative notes authors retain copyrights papers see publication agreement mlj website httppagessternnyuedufprovostmlj submissions reviewing handled electronically using standard procedures machine learning httpmachedmgrcom authors must register system submit manuscripts authors must select appropriate article type machine learning space submitting manuscripts accepted papers published electronically citable immediately print version appears schedule submission deadline march 31 2008 send papers reviewers april 15 2008 reviews due back editors july 15 2008 decisions announced august 1 2008 cameraready due september 30 2008 print publication end 2008 early 2009 fri 08 aug 2008 004349 0800 uai second call papers machine learning space