Case-based planning : viewing planning as a memory task / Hammond, Kristian J.

Non-linguistic Vocalization Recognition Based on Convolutional, Long Short-term Memory, Deep Neural

Neuromorphic Cognitive Systems A Learning and Memory Centered Approach / Yu, Qiang. author.

Using High-Order Prior Belief Predictions in Hierarchical Temporal Memory for Streaming Anomaly

-- Embodiment -- Development and learning -- Memory and prospection -- Knowledge and representation -- Social

, conditional Generative Adversarial Networks and Deep Feature Interpolation, to be time-efficient, memory

memory, similarity and analogy, and learning. These chapters also consider the application of mental

resources (e.g. cores, memory) are available, however for a limited sized cluster the growth in data will

convolutional neural networks combined with long short-term memory networks, explore how document length impacts

-text embedding, recurrence and sequencing, and memory models to interpret the queries and best answer them.

network (RNN), including gated recurrent unit (GRU), long-short term memory (LSTM), and bidirectional LSTM

-- Practical Uses of Memory Storage Extension -- How to Build a High Quality Mobile Applications Based on