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 / Knowledge Tracing with GNN
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
Atom
December 04, 2020
0
100
文献紹介 / Knowledge Tracing with GNN
文献紹介と書いてあるが自分の用のメモ
公開しなくても良いかなと思ったが公開
Atom
December 04, 2020
Tweet
Share
More Decks by Atom
See All by Atom
文献紹介 / Structure-based Knowledge Tracing: An Influence Propagation View
roraidolaurent
0
100
文献紹介 / Non-Intrusive Parametric Reduced Order Models withHigh-Dimensional Inputs via Gradient-Free Active Subspace
roraidolaurent
0
64
ニューラルネットワークのベイズ推論 / Bayesian inference of neural networks
roraidolaurent
2
2.9k
Graph Convolutional Networks
roraidolaurent
0
250
文献紹介 / A Probabilistic Annotation Model for Crowdsourcing Coreference
roraidolaurent
0
81
文献紹介Deep Temporal-Recurrent-Replicated-Softmax for Topical Trends over Time
roraidolaurent
0
130
文献紹介/ Bayesian Learning for Neural Dependency Parsing
roraidolaurent
0
130
ポッキー数列の加法定理 / Pocky number additon theorem
roraidolaurent
0
250
Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling
roraidolaurent
1
170
Featured
See All Featured
Writing Fast Ruby
sferik
630
63k
What’s in a name? Adding method to the madness
productmarketing
PRO
24
4k
Digital Projects Gone Horribly Wrong (And the UX Pros Who Still Save the Day) - Dean Schuster
uxyall
0
730
Docker and Python
trallard
47
3.8k
Darren the Foodie - Storyboard
khoart
PRO
3
2.9k
Bash Introduction
62gerente
615
210k
Git: the NoSQL Database
bkeepers
PRO
432
66k
Hiding What from Whom? A Critical Review of the History of Programming languages for Music
tomoyanonymous
2
550
Thoughts on Productivity
jonyablonski
75
5.1k
Building a Scalable Design System with Sketch
lauravandoore
463
34k
End of SEO as We Know It (SMX Advanced Version)
ipullrank
3
4.1k
Improving Core Web Vitals using Speculation Rules API
sergeychernyshev
21
1.4k
Transcript
None
None
∈ , ∈ {0,1}2 ∈ {0,1} ∈ {0,1} + 1
≡ +1 = , , , = 1 , ⋯ , ⊆ × , ∈ ℝ× ∈ ∈ ℝ
None
∈ ℝ2× ∈ ℝ× () ∈ ℝ ∈
, ℎ
None
None
None
None
None
None
☓
None
None
∈ {0,1}
None
None
None
−1 から問題 (スキル をもつ)に正答確率を アテンションで求めるが, と同じスキルをもつ問題(例 )
の正誤情報 は −1 では失われている可能性が大きい. に関連する問題を選択し, その情報 についても アテンションをとる.
None
None
None
None
None
None
None