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ORCIDAAAI Spring Symposium 2013 - Lifelong Machine Learning: Palo Alto, CA, USA
- Lifelong Machine Learning, Papers from the 2013 AAAI Spring Symposium, Palo Alto, California, USA, March 25-27, 2013. AAAI Technical Report SS-13-05, AAAI 2013
- Anestis Fachantidis, Ioannis Partalas, Matthew E. Taylor, Ioannis P. Vlahavas:
Autonomous Selection of Inter-Task Mappings in Transfer Learning (extended abstract). - Christian Federmann:
Multi-Engine Machine Translation as a Lifelong Machine Learning Problem. - Mohsen Ghafoorian, Nasrin Taghizadeh, Hamid Beigy:
Automatic Abstraction in Reinforcement Learning Using Ant System Algorithm. - Shaona Ghosh, Chris Lovell, Steve R. Gunn:
Towards Pareto Descent Directions in Sampling Experts for Multiple Tasks in an On-Line Learning Paradigm. - Majd Hawasly, Subramanian Ramamoorthy:
Lifelong Learning of Structure in the Space of Policies. - Yasser F. O. Mohammad, Toyoaki Nishida:
Learning Sensorimotor Concepts Without Reinforcement. - Paul Ruvolo, Eric Eaton:
Scalable Lifelong Learning with Active Task Selection. - Amirreza Shaban, Hamid R. Rabiee, Mehrdad Farajtabar, Mohsen Fadaee:
Online Object Representation Learning and Its Application to Object Tracking. - Daniel L. Silver:
The Consolidation of Task Knowledge for Lifelong Machine Learning. - Daniel L. Silver, Qiang Yang, Lianghao Li:
Lifelong Machine Learning Systems: Beyond Learning Algorithms. - Scott A. Wallace, Evan Dickinson, Andrew Nuxoll:
Hashing for Lightweight Episodic Recall. - Byoung-Tak Zhang:
Information-Theoretic Objective Functions for Lifelong Learning.
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