아카이브
- 13 / 12 [SDE] 2.3 Exercises (Part 4)
- 10 / 12 [SDE] 2.3 Exercises (Part 3)
- 08 / 12 [논문 리뷰] XGBoost based machine learning approach to predict the risk of fall in older adults using gait outcomes
- 08 / 12 [논문 리뷰] Machine learning models for predicting multimorbidity trajectories in middle-aged and elderly adults
- 07 / 12 [SDE] 2.3 Exercises (Part 2)
- 06 / 12 [SDE] 기초개념: 지시 함수(indicator function)
- 06 / 12 [SDE] 2.3 Exercises (Part 1)
- 05 / 12 [SDE] 2.2 An Important Example: Brownian Motion (브라운 운동)
- 04 / 12 [SDE] 2.1 확률론의 기초 언어 (Part 2): 확률 과정과 Kolmogorov Extension Theorem
- 04 / 12 [SDE] 2.1 확률론의 기초 언어 (Part 1): 공간, 변수, 그리고 기댓값과 독립성
- 16 / 04 [기초계산수학] 1.7 Numerical Linear Algebra: LU, QR, SVD
- 16 / 04 [기초계산수학] 1.6 Positive Definite Matrices
- 16 / 04 [기초계산수학] 1.5 Eigenvalues and Eigenvectors (Part II)
- 03 / 04 [논문 리뷰] Generative Modelling with Inverse Heat Dissipation
- 01 / 04 [기초계산수학] 1.5 Eigenvalues and Eigenvectors (Part I)
- 25 / 03 [SDE] 1. Introduction
- 22 / 03 [기초계산수학] 1.4 Inverses and Delta Functions
- 22 / 03 [기초계산수학] 1.3 Elimination Leads to K = LDLᵀ
- 21 / 03 [기초계산수학] 1.2 Differences, Derivatives, Boundary condtions
- 20 / 03 [기초계산수학] 1.1 Four Special Matrices