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Evan Kriminger

Evan G. Kriminger

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2010 – 2019

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2016
[j2]
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  - journals/tciaig/EmighKBPP16
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  - https://dblp.org/rec/journals/tciaig/EmighKBPP16
Matthew Emigh, Evan G. Kriminger, Austin J. Brockmeier, José C. Príncipe, Panos M. Pardalos:
Reinforcement Learning in Video Games Using Nearest Neighbor Interpolation and Metric Learning. IEEE Trans. Comput. Intell. AI Games 8(1): 56-66 (2016)
2015
[c6]
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Matthew Emigh, Evan Kriminger, José C. Príncipe:
Linear discriminant analysis with an information divergence criterion. IJCNN 2015: 1-6
[c5]
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Matthew Emigh, Evan Kriminger, José Carlos Príncipe:
A model based approach to exploration of continuous-state MDPs using Divergence-to-Go. MLSP 2015: 1-6
2014
[j1]
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  - journals/neco/BrockmeierCKFP14
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Austin J. Brockmeier, John S. Choi, Evan G. Kriminger, Joseph T. Francis, José C. Príncipe:
Neural Decoding with Kernel-Based Metric Learning. Neural Comput. 26(6): 1080-1107 (2014)
2012
[c4]
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  - electronic edition @ esann.org (open access)
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David Martínez-Rego, Evan Kriminger, José C. Príncipe, Oscar Fontenla-Romero, Amparo Alonso-Betanzos:
One-class classifier based on extreme value statistics. ESANN 2012
[c3]
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Evan Kriminger, José Carlos Príncipe, Choudur Lakshminarayan:
Mixture of designer experts for multi-regime detection in streaming data. EUSIPCO 2012: 410-414
[c2]
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Evan Kriminger, José C. Príncipe, Choudur Lakshminarayan:
Nearest Neighbor Distributions for imbalanced classification. IJCNN 2012: 1-5
2011
[c1]
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  - conf/icassp/KrimingerPL11
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Evan Kriminger, José Carlos Príncipe, Choudur Lakshminarayan:
Modified embedding for multi-regime detection in nonstationary streaming data. ICASSP 2011: 2256-2259

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