"Learning Search Control Knowledge for Deep Space Network Scheduling"

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Book	Author(s)	Year	Publisher
Learning Search Control Knowledge: An Explanation-Based Approach	Steven Minton (auth.)	1988	Springer US
Learning Search Control Knowledge: An Explanation-Based Approach	Steven Minton	1988	Springer US
Learning and knowledge for the network society /	Gibson, David V.; Heitor, M. V.; Ibarra Yunez, Alejandro.	[2005], ©2005.	Purdue University Press,
Deep Learning for Matching in Search and Recommendation	Jun Xu	2020	NOW PUBLISHERS
Large Antennas of the Deep Space Network	William A. Imbriale	2003	John Wiley & Sons
Intelligent scheduling with machine learning capabilities: the induction of scheduling knowledge	Michael Shaw	1990	College of Commerce and Business Administration, University of Illinois at Urbana-Champaign
Network Analysis: for Planning and Scheduling	Albert Battersby M.A, B.Sc, F.R.I.C. (auth.)	1970	Macmillan Education UK
Antenna Arraying Techniques in the Deep Space Network	David H. Rogstad	2003	John Wiley & Sons
Low-noise systems in the Deep Space Network /	Reid, Macgregor S.	c2008.	Wiley,
Network Intrusion Detection using Deep Learning: A Feature Learning Approach	Kwangjo Kim; Muhamad Erza Aminanto; Harry Chandra Tanuwidjaja	1st ed. 2018	Springer Nature Singapore
Network Scheduling Techniques for Construction Project Management	M. Hajdu	1997	Springer US
Time and learning: scheduling for success	Ann E. Witcher	1998	Phi Delta Kappa International
Deep Learning for Biometrics	Bir Bhanu; Ajay Kumar	1st ed. 2017	Springer International Publishing
Deep Learning for Dummies	Mueller, John Paul; Massaron, Luca	2019	For Dummies
Airline Network Planning and Scheduling	Ahmed Abdelghany	2018	John Wiley & Sons
Network Flow, Transportation and Scheduling	Masao Iri	1969	Elsevier
Formulation for Observed and Computed Values of Deep Space Network Data Types for Navigation	Theodore D. Moyer	2003	John Wiley & Sons
Deep space	Eric Frank Russell	1954	Fantasy Press
Deep space	Stephen Whitfield	2005	Apogee Books
Deep space /	Stanford, John.	℗1999.	USA distribution [by] Naxos of America,
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Learning Search Control Knowledge for Deep Space Network Scheduling	Jonathan Gratch; Steve Chien; Gerald Dejong	Machine Learning Proceedings 1993	Machine Learning	1993	Morgan Kaufmann
Deep Learning Based Intelligent Congestion Control for Space Network	Kun Li; Huachun Zhou; Hongke Zhang; Zhe Tu; Guanglei Li	Space Information Networks: 4th International Conference, SINC 2019, Wuzhen, China, September 19–20, 2019, Revised Selected Papers	Quan Yu	1st ed. 2020	Springer Nature Singapore
Deep space network	Nicholas A. Renzetti	Encyclopedia of Planetary Sciences	J.H. Shirley; Rhodes W. Fairbridge	1997	Springer Netherlands
Deep space network		Space travel	Ian Graham	2004	DK Pub.
Learning Search Control Knowledge for Equational Theorem Proving	Stephan Schulz	KI 2001: Advances in Artificial Intelligence: Joint German/Austrian Conference on AI, Vienna, Austria, September 19-21, 2001. Proceedings	Franz Baader; Gerhard Brewka; Thomas Eiter	2001	Springer Berlin Heidelberg
Deep Learning for Vehicle Control	Sampo Kuutti; Saber Fallah; Richard Bowden	Deep Learning for Autonomous Vehicle Control: Algorithms, State-of-the-Art, and Future Prospects	Sampo Kuutti; Saber Fallah; Richard Bowden; Phil Barber		Springer International Publishing
The Deep Space Network	J. P. Fearey; N. A. Renzetti	Space Engineering: Proceedings of the Second International Conference on Space Engineering	G.A. Partel	1970	Springer Netherlands
The Deep Space Network		Deep Space Communications	Jim Taylor	2016	Wiley Telecom
Deep Reinforcement Learning for Wireless Network	Bharti Sharma; R.K Saini; Akansha Singh; Krishna Kant Singh	Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks	Krishna Kant Singh; Akansha Singh; Korhan Cengiz; Dac-Nhuong Le	2020	John Wiley & Sons
Deep Learning for Math Knowledge Processing	Abdou Youssef; Bruce R. Miller	Intelligent Computer Mathematics: 11th International Conference, CICM 2018, Hagenberg, Austria, August 13-17, 2018, Proceedings	Florian Rabe; William M. Farmer; Grant O. Passmore; Abdou Youssef	1st ed. 2018	Springer International Publishing
Knowledge and deep learning		Leading in a culture of change /	Fullan, Michael,		Wiley & Sons, Limited, John
1534 Deep learning for motion control		Computer Vision and Recognition Systems Using Machine and Deep Learning Approaches: Fundamentals, Technologies and Applications	Chiranji Lal Chowdhary (editor), Mamoun Alazab (editor), Ankit Chaudhary (editor), Saqib Hakak (editor), G. Thippa Reddy (editor)	2021	The Institution of Engineering and Technology
Dynamic Distributed Scheduling Algorithm for State Space Search	Ankur Narang; Abhinav Srivastava; Ramnik Jain; R. K. Shyamasundar	Euro-Par 2012 Parallel Processing: 18th International Conference, Euro-Par 2012, Rhodes Island, Greece, August 27-31, 2012. Proceedings	Christos Kaklamanis; Theodore Papatheodorou; Paul G. Spirakis	2012	Springer Berlin Heidelberg
ADAPTIVE LEARNING OF DECISION-THEORETIC SEARCH CONTROL KNOWLEDGE	Eric H. Wefald; Stuart J. Russell	Proceedings of the Sixth International Workshop on Machine Learning	Alberto Maria Segre	1989	Morgan Kaufmann
Indian Deep Space Network (IDSN)		General Studies for Civil Services Preliminary Examination 2019 6 Volume Set Edgar Thorpe, Showick Thorpe	General Studies for Civil Services Preliminary Examination 2019 6 Volume Set Edgar Thorpe, Showick Thorpe	2019	PearSon education
Indian Deep Space Network (IDSN)		General Studies for Civil Services Preliminary Examination 2019 6 Volume Set	Edgar Thorpe, Showick Thorpe	2019	Pearson Education
Indian Deep Space Network (IDSN)		Pearson General Knowledge Manual 2018	Edgar Thorpe, Showick Thorpe	2017	Pearson Education
Indian Deep Space Network (IDSN)		General Studies for Civil Services Preliminary Examination 2019 6 Volume Set	Edgar Thorpe, Showick Thorpe	2019	Pearson Education
The deep space network (DSN)		Spacecraft tracking	William R. Corliss, William R. Corliss	1969	National Aeronautics and Space Administration : [For sale by the Supt. of Docs., U.S. Govt. Print. Off.]
Deep Reinforcement Learning for Multi-satellite Collection Scheduling	Jason T. Lam; François Rivest; Jean Berger	Theory and Practice of Natural Computing: 8th International Conference, TPNC 2019, Kingston, ON, Canada, December 9–11, 2019, Proceedings	Carlos Martín-Vide; Geoffrey Pond; Miguel A. Vega-Rodríguez	1st ed. 2019	Springer International Publishing
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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