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Artificial Intelligence and Machine Learning

The group has interests in Reinforcement learning and AI planning, Neuro-symbolic ML, Probabilistic graphical models, Statistical relational learning, Extreme classification, Embodied artificial intelligence, Ethical AI, Fairness and reliability in ML, Privacy issues in ML, ML for social networks, ML applications to healthcare, AI for crowdsourcing, Knowledge-based AI, Computational advertising, AI for robotics.

Publications


498 entries « 100 of 100 »
496.

Rahul Garg, Xiaoqiang Chen

RRR: recursive round robin scheduler Journal Article

In: Comput. Networks, vol. 31, no. 18, pp. 1951–1966, 1999.

Links | BibTeX

497.

Rahul Garg, Raphael Rom

4 An ATM Switch Control Interface for Quality of Service and Reliability Proceedings Article

In: Danny H. K. Tsang, Paul J. Kühn (Ed.): Broadband Communications: Convergence of Network Technologies, IFIP TC6 WG6.2 Fifth International Conference on Broadband Communications (BC '99), November 10-12, 1999, Hong Kong, pp. 405–417, Kluwer, 1999.

Links | BibTeX

498.

Robert J. Safranek, Charles R. Kalmanek Jr., Rahul Garg

Methods for matching compressed video to ATM networks Proceedings Article

In: Proceedings 1995 International Conference on Image Processing, Washington, DC, USA, October 23-26, 1995, pp. 13–16, IEEE Computer Society, 1995.

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498 entries « 100 of 100 »

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