Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
文献紹介 / Structure-based Knowledge Tracing: An In...
Search
Atom
May 06, 2021
0
89
文献紹介 / Structure-based Knowledge Tracing: An Influence Propagation View
Atom
May 06, 2021
Tweet
Share
More Decks by Atom
See All by Atom
文献紹介 / Knowledge Tracing with GNN
roraidolaurent
0
94
文献紹介 / Non-Intrusive Parametric Reduced Order Models withHigh-Dimensional Inputs via Gradient-Free Active Subspace
roraidolaurent
0
55
ニューラルネットワークのベイズ推論 / Bayesian inference of neural networks
roraidolaurent
1
2.8k
Graph Convolutional Networks
roraidolaurent
0
230
文献紹介 / A Probabilistic Annotation Model for Crowdsourcing Coreference
roraidolaurent
0
69
文献紹介Deep Temporal-Recurrent-Replicated-Softmax for Topical Trends over Time
roraidolaurent
0
100
文献紹介/ Bayesian Learning for Neural Dependency Parsing
roraidolaurent
0
120
ポッキー数列の加法定理 / Pocky number additon theorem
roraidolaurent
0
210
Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling
roraidolaurent
1
140
Featured
See All Featured
Git: the NoSQL Database
bkeepers
PRO
431
65k
Creating an realtime collaboration tool: Agile Flush - .NET Oxford
marcduiker
31
2.2k
Principles of Awesome APIs and How to Build Them.
keavy
126
17k
The Art of Programming - Codeland 2020
erikaheidi
54
13k
実際に使うSQLの書き方 徹底解説 / pgcon21j-tutorial
soudai
PRO
183
54k
How GitHub (no longer) Works
holman
314
140k
Imperfection Machines: The Place of Print at Facebook
scottboms
267
13k
Adopting Sorbet at Scale
ufuk
77
9.5k
How to Ace a Technical Interview
jacobian
278
23k
Fashionably flexible responsive web design (full day workshop)
malarkey
407
66k
JavaScript: Past, Present, and Future - NDC Porto 2020
reverentgeek
50
5.5k
How STYLIGHT went responsive
nonsquared
100
5.7k
Transcript
None
2
3
4
5
6
7
8
9
10 𝒙𝑡 = 𝑒𝑡 = 0に回答して不正解? 𝑒𝑡 = 0に回答して正解? 𝑒𝑡
= 1に回答して不正解? ⋮ 関係r ごとに埋め込み 関係r に関する一時的に用いる特徴量 注)ℎ𝑖 𝑡 ← ℎ 𝑖 𝑡,𝑇と更新されない.
11 𝑝𝑎𝑟𝑡𝑖𝑗 𝑟
12
13
14
15
16
17
18
19
20
21
22
23 1ステップのみの学習で得られた 影響ベクトル 𝐽𝑖 ∈ ℝ+𝑁として 概念間の影響ベクトルのコサイン類似度が 0.5以上のものにエッジを引いてクラスタリング
24
25