Bootstrapping incremental dialogue systems: using linguistic knowledge to learn from minimal data. Bayesian Model Selection of Stochastic Block Models. subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs. Stochastic Variance Reduction Methods for Saddle-Point Problems. Solving Systems of Random Quadratic Equati …

Multimodal Semantic Simulations of Linguistically Underspecified Motion Events. On Optimality Conditions for Auto-Encoder Signal Recovery. Bayesian Hyperparameter Optimization for Ensemble Learning. Competitive analysis of the top-K ranking problem. End-to-End Neural Sentence Ordering Using Pointer Network. A Novel Representation of Neural Networks …

A Mathematical Framework for Feature Selection from Real-World Data with Non-Linear Observations. Measuring Asymmetric Opinions on Online Social Interrelationship with Language and Network Features. Applying Artifical Neural Networks To Predict Nominal Vehicle Performance. Unsupervised Regenerative Learning of Hierarchical Features in Spiking Deep …