Michael Gashler

Publication Activity (10 Years)

Years Active: 2007-2018
Publications (10 Years): 2

Top Topics

Activation Function

Imputation Methods

Manifold Learning

Top Venues

Publications

Luke B. Godfrey, Michael Gashler
Leveraging Product as an Activation Function in Deep Networks. SMC (2018)
Joshua Smith, Michael Gashler
An Investigation of How Neural Networks Learn from the Experiences of Peers Through Periodic Weight Averaging. ICMLA (2017)
Michael R. Smith, Tony R. Martinez, Michael Gashler
A Hybrid Latent Variable Neural Network Model for Item Recommendation. CoRR (2014)
Michael Gashler, Michael R. Smith, Richard G. Morris, Tony R. Martinez
Missing Value Imputation With Unsupervised Backpropagation. CoRR (2013)
Michael Gashler, Tony R. Martinez
Robust manifold learning with CycleCut. Connect. Sci. 24 (1) (2012)
Michael Gashler, Dan Ventura, Tony R. Martinez
Manifold Learning by Graduated Optimization. IEEE Trans. Syst. Man Cybern. Part B 41 (6) (2011)
Michael Gashler
: A Machine Learning Toolkit. J. Mach. Learn. Res. 12 (2011)
Michael Gashler, Tony R. Martinez
Temporal nonlinear dimensionality reduction. IJCNN (2011)
Michael Gashler, Tony R. Martinez
Tangent space guided intelligent neighbor finding. IJCNN (2011)
Michael Gashler, Christophe G. Giraud-Carrier, Tony R. Martinez
Decision Tree Ensemble: Small Heterogeneous Is Better Than Large Homogeneous. ICMLA (2008)
Michael Gashler, Dan Ventura, Tony R. Martinez
Iterative Non-linear Dimensionality Reduction with Manifold Sculpting. NIPS (2007)