Succinct Data Structure for Analyzing Document CollectionPreferred Networks
Invited talk at the workshop ALSIP2011. The topic includes, Rank/Select data structure, and its implementation, wavelet trees and its applications, suffix arrays, suffix trees, Burrows Wheeler's Transform, FM-index, Top-k document query.
Succinct Data Structure for Analyzing Document CollectionPreferred Networks
Invited talk at the workshop ALSIP2011. The topic includes, Rank/Select data structure, and its implementation, wavelet trees and its applications, suffix arrays, suffix trees, Burrows Wheeler's Transform, FM-index, Top-k document query.
1) The document discusses the development history and planned features of Chainer, a deep learning framework.
2) It describes Chainer's transition to a new model structure using Links and Chains to define networks in a more modular and reusable way.
3) The new structure will allow for easier saving, loading, and composition of network definitions compared to the previous FunctionSet/Optimizer approach.
PFN Spring Internship Final Report: Autonomous Drive by Deep RLNaoto Yoshida
This is the final report for the spring internship 2016 at Preferred Networks. gym_torcs is released in mt github account: https://github.com/ugo-nama-kun/gym_torcs
PFN福田圭祐による東大大学院「融合情報学特別講義Ⅲ」(2022年10月19日)の講義資料です。
・Introduction to Preferred Networks
・Our developments to date
・Our research & platform
・Simulation ✕ AI