Asymptotic Efficiency of Deterministic Estimators for Discrete Energy-Based Models: Ratio Matching and Pseudolikelihood

Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory

Asymptotic Learnability of Reinforcement Problems with Arbitrary Dependence

Asymptotic Learning Curve and Renormalizable Condition in Statistical Learning Theory

Attacking and Defending Covert Channels and Behavioral Models

Attenuation prediction for fade mitigation using neural network with in situ learning algorithm

Augmenting Think-Pair-Share with Simulations

Auroral Image Classification via Machine Vision

Automated Analysis of the Digitized Second Palomar Sky Survey: System Design, Implementation, and Initial Results

Automated Data Preparation and Physics Mining Tools for Space Weather Studies (Invited)

Automated Detection of Objects Based on Sérsic Profiles

Automated Development of Feature Extraction Tools for Planetary Science Image Datasets

Automated Prediction of CMEs Using Machine Learning of CME - Flare Associations

Automatic Crater Counts on Mars

Automatic Detection of Diabetes Diagnosis using Feature Weighted Support Vector Machines based on Mutual Information and Modified Cuckoo Search

Automatic Network Reconstruction using ASP

Automatic Pattern Classification by Unsupervised Learning Using Dimensionality Reduction of Data with Mirroring Neural Networks

Automatic QSO Selection Algorithm Using Time Series Analysis and Machine Learning

Automatic Tuning of Interactive Perception Applications

Autotagging music with conditional restricted Boltzmann machines