The 29th Uncertainty in Artificial Intelligence Conference: Preface

Ann Nicholson, Padhraic Smyth
Proceedings of the 29th Conference on Uncertainty in Artificial Intelligence, PMLR R11:1-4, 2013.

Abstract

Uncertainty In Artificial Intelligence Proceedings of the Twenty-Ninth Conference (2013) Edited by Ann Nicholson Padhraic Smyth Uncertainty in Artificial Intelligence Proceedings of the Twenty-Ninth Conference (2013) July 12-14, 2013, Bellevue, Washington, United States Edited by Ann Nicholson, Monash University, Australia Padhraic Smyth, University of California, Irvine, United States General Chairs Nando De Freitas, University of British Columbia, Canada, and Oxford University, United Kingdom Max Chickering, Microsoft Research, Redmond, United States Local Arrangements Chair Marina Meila, University of Washington, United States Sponsored by Microsoft Research, Artificial Intelligence Journal, Amazon.com, Google Inc., Charles River Analytics, Toyota InfoTechnology Center, U.S.A., Inc., IBM Research AUAI Press Corvallis, Oregon Cover design (c) Alice Zheng. Published by AUAI Press for Association for Uncertainty in Artificial Intelligence http://auai.org Editorial Office: P.O. Box 866 Corvallis, Oregon 97339 USA Copyright (c) 2013 by AUAI Press All rights reserved Printed in the United States of America No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means—electronic, mechanical, photocopying, recording, or other- wise—without the prior written permission of the publisher. ISBN 978-0-9749039-9-6

Cite this Paper

BibTeX
@InProceedings{pmlr-vR11-nicholson13a, title = {The 29th Uncertainty in Artificial Intelligence Conference: Preface}, author = {Nicholson, Ann and Smyth, Padhraic}, booktitle = {Proceedings of the 29th Conference on Uncertainty in Artificial Intelligence}, pages = {1--4}, year = {2013}, editor = {Nicholson, Ann and Smyth, Padhraic}, volume = {R11}, series = {Proceedings of Machine Learning Research}, month = {12--14 Jul}, publisher = {PMLR}, pdf = {https://raw.githubusercontent.com/mlresearch/r11/main/assets/nicholson13a/nicholson13a.pdf}, url = {https://proceedings.mlr.press/r11/nicholson13a.html}, abstract = {Uncertainty In Artificial Intelligence Proceedings of the Twenty-Ninth Conference (2013) Edited by Ann Nicholson Padhraic Smyth Uncertainty in Artificial Intelligence Proceedings of the Twenty-Ninth Conference (2013) July 12-14, 2013, Bellevue, Washington, United States Edited by Ann Nicholson, Monash University, Australia Padhraic Smyth, University of California, Irvine, United States General Chairs Nando De Freitas, University of British Columbia, Canada, and Oxford University, United Kingdom Max Chickering, Microsoft Research, Redmond, United States Local Arrangements Chair Marina Meila, University of Washington, United States Sponsored by Microsoft Research, Artificial Intelligence Journal, Amazon.com, Google Inc., Charles River Analytics, Toyota InfoTechnology Center, U.S.A., Inc., IBM Research AUAI Press Corvallis, Oregon Cover design (c) Alice Zheng. Published by AUAI Press for Association for Uncertainty in Artificial Intelligence http://auai.org Editorial Office: P.O. Box 866 Corvallis, Oregon 97339 USA Copyright (c) 2013 by AUAI Press All rights reserved Printed in the United States of America No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means—electronic, mechanical, photocopying, recording, or other- wise—without the prior written permission of the publisher. ISBN 978-0-9749039-9-6}, note = {Reissued by PMLR on 04 October 2026.} }
Endnote
%0 Conference Paper %T The 29th Uncertainty in Artificial Intelligence Conference: Preface %A Ann Nicholson %A Padhraic Smyth %B Proceedings of the 29th Conference on Uncertainty in Artificial Intelligence %C Proceedings of Machine Learning Research %D 2013 %E Ann Nicholson %E Padhraic Smyth %F pmlr-vR11-nicholson13a %I PMLR %P 1--4 %U https://proceedings.mlr.press/r11/nicholson13a.html %V R11 %X Uncertainty In Artificial Intelligence Proceedings of the Twenty-Ninth Conference (2013) Edited by Ann Nicholson Padhraic Smyth Uncertainty in Artificial Intelligence Proceedings of the Twenty-Ninth Conference (2013) July 12-14, 2013, Bellevue, Washington, United States Edited by Ann Nicholson, Monash University, Australia Padhraic Smyth, University of California, Irvine, United States General Chairs Nando De Freitas, University of British Columbia, Canada, and Oxford University, United Kingdom Max Chickering, Microsoft Research, Redmond, United States Local Arrangements Chair Marina Meila, University of Washington, United States Sponsored by Microsoft Research, Artificial Intelligence Journal, Amazon.com, Google Inc., Charles River Analytics, Toyota InfoTechnology Center, U.S.A., Inc., IBM Research AUAI Press Corvallis, Oregon Cover design (c) Alice Zheng. Published by AUAI Press for Association for Uncertainty in Artificial Intelligence http://auai.org Editorial Office: P.O. Box 866 Corvallis, Oregon 97339 USA Copyright (c) 2013 by AUAI Press All rights reserved Printed in the United States of America No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means—electronic, mechanical, photocopying, recording, or other- wise—without the prior written permission of the publisher. ISBN 978-0-9749039-9-6 %Z Reissued by PMLR on 04 October 2026.
APA
Nicholson, A. & Smyth, P.. (2013). The 29th Uncertainty in Artificial Intelligence Conference: Preface. Proceedings of the 29th Conference on Uncertainty in Artificial Intelligence, in Proceedings of Machine Learning Research R11:1-4 Available from https://proceedings.mlr.press/r11/nicholson13a.html. Reissued by PMLR on 04 October 2026.

Related Material