NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (18)

cs.CV2017

Convolutional Neural Networks for Font Classification

Chris Tensmeyer, Daniel Saunders, Tony Martinez

quant-ph1998

Quantum Associative Memory

Dan Ventura, Tony Martinez

stat.ML2014

A Hierarchical Multi-Output Nearest Neighbor Model for Multi-Output Dependence Learning

Richard G. Morris, Tony Martinez, Michael R. Smith

cs.LG2014

A Hybrid Latent Variable Neural Network Model for Item Recommendation

Michael R. Smith, Tony Martinez, Michael Gashler

stat.ML2014

Becoming More Robust to Label Noise with Classifier Diversity

Michael R. Smith, Tony Martinez

stat.ML2014

An Easy to Use Repository for Comparing and Improving Machine Learning Algorithm Usage

Michael R. Smith, Andrew White, Christophe Giraud-Carrier +1

quant-ph1998

A Quantum Computational Learning Algorithm

Dan Ventura, Tony Martinez

stat.ML2014

Reducing the Effects of Detrimental Instances

Michael R. Smith, Tony Martinez

cs.LG2013

A Comparative Evaluation of Curriculum Learning with Filtering and Boosting

Michael R. Smith, Tony Martinez

cs.CV2017

Document Image Binarization with Fully Convolutional Neural Networks

Chris Tensmeyer, Tony Martinez

cs.LG2013

An Extensive Evaluation of Filtering Misclassified Instances in Supervised Classification Tasks

Michael R. Smith, Tony Martinez

cs.CV2017

Analysis of Convolutional Neural Networks for Document Image Classification

Chris Tensmeyer, Tony Martinez

stat.ML2014

The Potential Benefits of Filtering Versus Hyper-Parameter Optimization

Michael R. Smith, Tony Martinez, Christophe Giraud-Carrier

quant-ph1998

Initializing the Amplitude Distribution of a Quantum State

Dan Ventura, Tony Martinez

quant-ph1998

Quantum Harmonic Sieve: Learning DNF with a Classical Example Oracle

Dan Ventura, Tony Martinez

cs.CV2018

Language Model Supervision for Handwriting Recognition Model Adaptation

Chris Tensmeyer, Curtis Wigington, Brian Davis +3

cs.NE2013

Missing Value Imputation With Unsupervised Backpropagation

Michael S. Gashler, Michael R. Smith, Richard Morris +1

cs.LG2014

Recommending Learning Algorithms and Their Associated Hyperparameters

Michael R. Smith, Logan Mitchell, Christophe Giraud-Carrier +1