Modeling language learning for social cognition research: The effect of prior knowledge base subtleties – The goal of this paper is to establish and quantify how semantic representation of human language is affected by the presence of a wide variety of semantic entities. The aim of this paper is to present the concept of a new conceptual language to describe human language as an unstructured semantic space: it encompasses human objects, words, concepts and sentences. We believe that semantic representations of human language will help in exploring the domain of language ontology.

A method for automatically learning to perform intelligent actions from video by optimizing the model-free training data of a given task is presented. Using a novel and fast learning algorithm, we show that a modified version of the KNN-based algorithm — K-Net — learns to perform the task effectively in a given environment, achieving state-of-the-art performance on the K-NN task when trained using only minimal data. We also show how the updated version can be used to learn to learn to perform this task effectively by directly optimizing the input data.

GraphLab – A New Benchmark for Parallel Machine Learning

Categorical matrix understanding by Hilbert-type extensions of Copula functions

Modeling language learning for social cognition research: The effect of prior knowledge base subtleties

Fast Low-Rank Matrix Estimation for High-Dimensional Text Classification

Unsupervised Active Learning with Partial LearningA method for automatically learning to perform intelligent actions from video by optimizing the model-free training data of a given task is presented. Using a novel and fast learning algorithm, we show that a modified version of the KNN-based algorithm — K-Net — learns to perform the task effectively in a given environment, achieving state-of-the-art performance on the K-NN task when trained using only minimal data. We also show how the updated version can be used to learn to learn to perform this task effectively by directly optimizing the input data.