kiri wagstaff wablzjplnasagov deadline special issue one month away encourage contact us paper ideas look forward receiving full submissions cheers machine learning space extending reach special issue machine learning journal amy mcgovern kiri l wagstaff guest editors url httpwwwwkiricomml4space submission deadline july 1 2007 remote space environments simultaneously present significant challenges machine learning community enormous opportunities advancement enhancing spacecraft autonomy machine learning potential permit new discoveries prescripted activities would preclude onboard machine learning could enable intelligent filtering prioritizing data collected make best use available bandwidth rovers learning capabilities could thoroughly quickly explore new environments relating previously observed areas highlighting novel unexpected observations initial tests made direction increasing computational power available spacecraft broadened field could feasibly done onboard ultimately machine learning help spacecraft graduate current status science prosthetics science assistants 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 encourage prospective authors email us brief summary paper concept feedback especially survey papers papers focused applications 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 july 1 2007 send papers reviewers july 15 2007 reviews due back editors september 1 2007 decisions announced september 15 2007 cameraready due october 31 2007 print publication early 2008 kiri wagstaff phd zrdawoslaeyqjplnasagov senior researcher jet propulsion laboratory machine learning instrument autonomy httpmljplnasagov thu 07 aug 2008 174030 0700 uai mlj special issue machine learning space 2nd announcement