Proceedings of the third international Traveling Workshop on Interactions between Sparse models and Technology (INTA’2013) – We present the framework for solving the continuous-valued multiconvergence problem by first computing the probability distribution over the data. Then, we provide a general theoretical framework that generalizes the multiconvergence problem and generalizes it to the continuous-valued setting.
In this paper, we discuss the theory of linearity theory and formal reasoning for the construction of logic programs for symbolic languages. In particular, we propose a general framework for reasoning about symbolic programs that contains a number of axioms and an axiomogical semantics. The axioms and the axiomogical semantics are the formal foundations of logical programming used in cognitive science and is central to various natural language algorithms, including symbolic logic programs. We then review our main result and provide a few examples of the implications of this framework from natural language.
3D Face Recognition with Convolutional Neural Networks using Fuzzy Generative Adversarial Networks
Using Artificial Neurons to Generate Spatial Spaces for Brain-like Machines
Proceedings of the third international Traveling Workshop on Interactions between Sparse models and Technology (INTA’2013)
Bregman Divergences and Graph Hashing for Deep Generative Models
The Logarithmic-Time Logic of KnowledgeIn this paper, we discuss the theory of linearity theory and formal reasoning for the construction of logic programs for symbolic languages. In particular, we propose a general framework for reasoning about symbolic programs that contains a number of axioms and an axiomogical semantics. The axioms and the axiomogical semantics are the formal foundations of logical programming used in cognitive science and is central to various natural language algorithms, including symbolic logic programs. We then review our main result and provide a few examples of the implications of this framework from natural language.