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Yishay Mansour

◀ ▶ joint publications with Andrew Y. Ng

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Publications

2013
[i20]
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  - journals/corr/abs-1302-1552
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  - https://dblp.org/rec/journals/corr/abs-1302-1552
Michael J. Kearns, Yishay Mansour, Andrew Y. Ng:
An Information-Theoretic Analysis of Hard and Soft Assignment Methods for Clustering. CoRR abs/1302.1552 (2013)
2002
[j46]
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  - journals/ml/KearnsMN02
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  - https://dblp.org/rec/journals/ml/KearnsMN02
Michael J. Kearns, Yishay Mansour, Andrew Y. Ng:
A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes. Machine Learning 49(2-3): 193-208 (2002)
1999
[c69]
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  - conf/ijcai/KearnsMN99
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Michael J. Kearns, Yishay Mansour, Andrew Y. Ng:
A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes. IJCAI 1999: 1324-1231
[c67]
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  - conf/nips/KearnsMN99
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Michael J. Kearns, Yishay Mansour, Andrew Y. Ng:
Approximate Planning in Large POMDPs via Reusable Trajectories. NIPS 1999: 1001-1007
1997
[j27]
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  - journals/ml/KearnsMNR97
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Michael J. Kearns, Yishay Mansour, Andrew Y. Ng, Dana Ron:
An Experimental and Theoretical Comparison of Model Selection Methods. Machine Learning 27(1): 7-50 (1997)
[c53]
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  - conf/uai/KearnsMN97
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  - https://dblp.org/rec/conf/uai/KearnsMN97
Michael J. Kearns, Yishay Mansour, Andrew Y. Ng:
An Information-Theoretic Analysis of Hard and Soft Assignment Methods for Clustering. UAI 1997: 282-293
1995
[c44]
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  - conf/colt/KearnsMNR95
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Michael J. Kearns, Yishay Mansour, Andrew Y. Ng, Dana Ron:
An Experimental and Theoretical Comparison of Model Selection Methods. COLT 1995: 21-30

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