Titlebook: Explanation-Based Neural Network Learning; A Lifelong Learning Sebastian Thrun Book 1996 Kluwer Academic Publishers 1996 algorithms.artifi

faculty

Brochure

使纠缠

Book 1996ong learning - using earlierlearned knowledge to improve subsequent learning - is apromising direction for a new generation of machine learningalgorithms. Given the need for more accurate learning methods, it isdifficult to imagine a future for machine learning that does notinclude this paradigm..‘. .From the Foreword by Tom M. Mitchell.

牲畜栏

Adj异类的

IRATE

比喻好

gusher

Discussion,s over its entire lifetime. If these tasks are appropriately related, knowledge learned in the first . - 1 tasks can be transferred to the .-th task to boost the generalization accuracy. Two special cases of lifelong learning problems have been investigated in this book: lifelong supervised learning

Hiatal-Hernia

Transaction management in design databases,coordinating iterated partial analyses of an engineering system, propagation of design decisions in one subsystem to other subsystems and concurrent design operations within a single subsystem. The implications of entity state management for engineering database schema definition are also explored.

变异

Throughput Prediction-Based Rate Adaptation for Real-Time Video Streaming over UAVs Networks,he raw prediction is further calibrated with reactive estimation of buffered video time to precisely guide the adaptation. Simulation results show that our scheme maintains a continuous playback with a high quality and significantly shorten the start-up delay compared with two constant bit-rate schemes.