George D. Montaņez, PhD
George D. Montaņez, PhD
Assistant Professor, Department of Computer Science, Harvey Mudd College
Verified email at - Homepage
Cited by
Cited by
Cross-device search
GD Montanez, RW White, X Huang
Proceedings of the 23rd ACM international conference on conference on …, 2014
Inertial hidden markov models: Modeling change in multivariate time series
GD Montanez, S Amizadeh, N Laptev
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
Virtue as a framework for the design and use of artificial intelligence
MJ Neubert, GD Montaņez
Business Horizons 63 (2), 195-204, 2020
An information-theoretic perspective on overfitting and underfitting
D Bashir, GD Montaņez, S Sehra, PS Segura, J Lauw
Australasian Joint Conference on Artificial Intelligence, 347-358, 2020
Predicting False Positives of Protein-Protein Interaction Data by Semantic Similarity Measures
G Montanez, YR Cho
Current Bioinformatics 8 (3), 339-346, 2013
Efficient per query information extraction from a hamming oracle
W Ewert, G Montanez, WA Dembski, RJ Marks
2010 42nd Southeastern Symposium on System Theory (SSST), 290-297, 2010
The famine of forte: few search problems greatly favor your algorithm
GD Montanez
2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017
Why machine learning works
GD Montanez
URL https://www. cs. cmu. edu/~ gmontane/montanez_dissertation. pdf, 2017
Multiple overlapping genetic codes profoundly reduce the probability of beneficial mutation
G Montaņez, RJ Marks II, J Fernandez, JC Sanford
Biological Information: New Perspectives, 139-167, 2013
A vivisection of the ev computer organism: identifying sources of active information
G Montaņez, W Ewert, WA Dembski, RJ Marks II
Bio-Complexity 2010, 2010
Limits of transfer learning
J Williams, A Tadesse, T Sam, H Sun, GD Montaņez
International Conference on Machine Learning, Optimization, and Data Science …, 2020
The futility of bias-free learning and search
GD Montanez, J Hayase, J Lauw, D Macias, A Trikha, J Vendemiatti
Australasian Joint Conference on Artificial Intelligence, 277-288, 2019
A unified model of complex specified information
GD Montaņez
Bio-Complexity 2018, 2018
Bounding the number of favorable functions in stochastic search
GD Montanez
2013 IEEE Congress on evolutionary computation, 3019-3026, 2013
Undecidability of Underfitting in Learning Algorithms
S Sehra, D Flores, GD Montanez
2021 2nd International Conference on Computing and Data Science (CDS), 591-594, 2021
The bias-expressivity trade-off
J Lauw, D Macias, A Trikha, J Vendemiatti, GD Montanez
arXiv preprint arXiv:1911.04964, 2019
The labeling distribution matrix (LDM): a tool for estimating machine learning algorithm capacity
PS Segura, J Lauw, D Bashir, K Shah, S Sehra, D Macias, G Montanez
arXiv preprint arXiv:1912.10597, 2019
The Gopher’s Gambit: Survival Advantages of Artifact-based Intention Perception [The Gopher’s Gambit: Survival Advantages of Artifact-based Intention Perception]
C Hom, A Maina-Kilaas, K Ginta, C Lay, G Montaņez
Proceedings of the 13th International Conference on Agents and Artificial …, 2021
The LICORS cabinet: Nonparametric light cone methods for spatio-temporal modeling
GD Montanez, CR Shalizi
2017 International Joint Conference on Neural Networks (IJCNN), 2811-2819, 2017
Assessing reliability of protein-protein interactions by gene ontology integration
GD Montanez, YR Cho
2012 IEEE Symposium on Computational Intelligence in Bioinformatics and …, 2012
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