feat(wiki): 코드 그라운딩 23문서 + MOC 학습지도 39개
- 코드 그라운딩: 기술 주제 문서의 '적용 사례'에 실제 레포 구현 위치
(file:line)+커밋 자동 주입 (예: 문서 청킹 전략→connectai/src/retrieval/chunker.ts).
멱등 마커(CODE-GROUNDING)로 재실행 시 갱신.
- MOC: 39개 클러스터 폴더에 _MOC.md 학습지도 생성(진입점+통찰 주석).
도구: Datacollect/scripts/{code_grounding,moc_generator}.mjs
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
@@ -160,3 +160,17 @@ class TransE(nn.Module):
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| 2026-05-08 | Phase 1 |
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| 2026-05-10 | Manual cleanup — KG fundamentals, triples, GraphRAG, Neo4j patterns |
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## 🛠️ 적용 사례 (Applied in summary)
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<!-- CODE-GROUNDING:START -->
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### 🔎 코드베이스 근거 (자동 추출 — E:\Wiki 레포)
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**실제 구현/사용 위치:**
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- `connectai/src/features/projectChronicle/guardPrompt.ts:57` — [Omitted long matching line]
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**관련 커밋:**
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- `connectai d843364 feat: add premium matrix styling to knowledge graph, glowing nodes, and directional particle flow across synapses`
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- `connectai 279e671 feat: parse real workspace files for knowledge graph topology and add organic organic movement`
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_자동 생성: code_grounding.mjs · 재실행 시 갱신됨_
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<!-- CODE-GROUNDING:END -->
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@@ -190,3 +190,13 @@ def align_classes(onto_a_labels, onto_b_labels, threshold=0.85):
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| 2026-05-08 | Phase 1 |
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| 2026-05-10 | Manual cleanup — Ontology FULL with RDF/OWL/SHACL/GraphRAG patterns |
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## 🛠️ 적용 사례 (Applied in summary)
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<!-- CODE-GROUNDING:START -->
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### 🔎 코드베이스 근거 (자동 추출 — E:\Wiki 레포)
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**실제 구현/사용 위치:**
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- `connectai/src/features/secondBrainTrace.ts:223` — [Omitted long matching line]
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_자동 생성: code_grounding.mjs · 재실행 시 갱신됨_
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<!-- CODE-GROUNDING:END -->
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@@ -0,0 +1,210 @@
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---
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id: moc-computer_science_and_theory
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title: "Computer_Science_and_Theory — 학습 지도 (MOC)"
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category: "MOC"
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status: "active"
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type: "map-of-content"
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tags: ["MOC", "Computer_Science_and_Theory"]
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updated_at: 2026-06-08
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---
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# 🗺️ Computer_Science_and_Theory — 학습 지도 (MOC)
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> 이 클러스터의 **147개 문서**에 대한 진입점과 학습 순서. 자동 생성(moc_generator.mjs) — 재실행 시 갱신.
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## 📚 전체 문서 (Topics)
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> ⚠️ 문서가 많은 클러스터(147개) — 첫 글자별로 묶음. 하위 폴더로 재구성 검토 권장.
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### A
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- [[Abstract Syntax Tree Transformation]]
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- [[Adaptive Curation]]
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- [[Additive Type Logic]]
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- [[Aesthetic Value]]
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- [[Alcoholism]]
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- [[Algorithm Complexity (Big O)]]
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- [[Atomism]]
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- [[Autobiography]]
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- [[Autoethnography]]
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- [[Automated Decision Making]]
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- [[Automated Map Generation]]
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- [[Autonomous Vehicle Path Planning]]
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- [[Axiology]]
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- [[Axiomatic Systems]]
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### B
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- [[B-Tree]]
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- [[BFS vs DFS]]
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- [[Biological Inspired Algorithms]]
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- [[Black Hole]]
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- [[Bloom Filters in Search]]
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- [[Brute-force]]
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- [[Bubble Sort]]
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- [[Burnout Prevention in Professional Gaming]]
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### C
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- [[Caetextia]]
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- [[Chaos Theory in Systems]]
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- [[Climate Change Mitigation Frameworks]]
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- [[Cognitive Neuroscience of Flow]]
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- [[Combinatorial Optimization]]
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- [[Computer Science and Theory]]
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- [[Control Theory]]
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- [[Cross Frequency Coupling (CFC)]]
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### D
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- [[Decision Theory]]
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- [[Determinism in Computing]]
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- [[Dijkstra's Algorithm]]
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- [[Directed Acyclic Graph Dependency Management]]
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- [[Dissipative Structures]]
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- [[Dynamic Programming]]
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### E
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- [[Economic Complexity Index]]
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- [[Eigenvalues and Eigenvectors]]
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- [[Elite Theory]]
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- [[Emergence]]
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- [[Emergence in Systems]]
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- [[Entropy in Information Theory]]
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- [[Ergodic Theory]]
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- [[Ethnographic Research]]
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- [[Evolutionary Algorithms]]
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- [[Expectation Maximization]]
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### F
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- [[Feedback Control Systems]]
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- [[Feedback Loops in Systems]]
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- [[Flame Icicle Graph 플레임 고드름 그래프]]
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- [[FMEA]]
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### G
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- [[Geographic Information Systems]]
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- [[Gimbals and Orientation]]
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- [[Godel's Incompleteness Theorems]]
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- [[Graph Coloring Problem]]
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- [[Graph Theory]]
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- [[Greedy Algorithms]]
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- [[Grounded Theory Method]]
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### H
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- [[Hardware Verification]]
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- [[Hash Functions and Maps]]
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- [[Hebbian Theory]]
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- [[High Frequency Trading Models]]
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### I
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- [[Incremental Computation]]
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- [[Inexact Science]]
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- [[Information Entropy]]
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- [[Information Retrieval (IR)]]
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- [[Information Retrieval Evaluation Metrics]]
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- [[Information Theory]]
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- [[Inner Product Spaces]]
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- [[Issue Tree]]
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### K
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- [[Kalman Filter and State Tracking]]
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- [[Kernel Density Estimation (KDE)]]
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- [[Keyword Search]]
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- [[Knowledge Graph]]
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- [[Knowledge Graph Foundations]]
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- [[Knowledge Structure]]
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- [[Kolmogorov Complexity]]
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- [[Kullback-Leibler Divergence]]
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### L
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- [[Lagrange Multipliers]]
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- [[Least Squares Methods]]
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- [[Linear Algebra Foundations]]
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- [[Linked Lists and Trees]]
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- [[Locality Sensitive Hashing]]
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- [[Locality-Sensitive Hashing (LSH)]]
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- [[Logic Trees]]
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- [[Lubrication]]
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### M
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- [[Mental Models]]
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- [[Model Predictive Control (MPC)]]
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- [[Monte Carlo Integration]]
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- [[Multivariate Analysis]]
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- [[Mutual Information]]
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- [[Mutually Exclusive and Collectively Exhaustive (MECE)]]
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### N
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- [[Neural Ignition]]
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- [[Noise]]
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### O
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- [[Ontology]]
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- [[Operations Research]]
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- [[Operator Theory]]
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- [[Optimal Control Theory]]
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- [[Optimization]]
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- [[Optimization Algorithms]]
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### P
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- [[Partial Differential Equations]]
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- [[Particle Filter Algorithms]]
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- [[PCA and Dimension Reduction]]
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- [[Phase Amplitude Coupling]]
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- [[PID Controllers in AI]]
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- [[Posterior and Prior Probability]]
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- [[Principal Component Analysis]]
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- [[Principle of Least Action]]
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- [[Probability Theory]]
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- [[Probability Theory Foundations]]
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- [[Problem Solving]]
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- [[Profitability Framework]]
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### Q
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- [[Quantum Computing]]
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- [[Quantum Computing (Intro)]]
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### R
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- [[Ranking Algorithms]]
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- [[Regression Analysis Foundations]]
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- [[Relevance Feedback]]
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- [[Reports]]
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- [[Representation Theory]]
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- [[Ridge Regression]]
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- [[Root Cause Analysis (RCA)]]
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- [[Root Mean Square Error]]
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- [[Roughness (그래픽 및 물리)]]
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### S
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- [[Sampling Techniques]]
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- [[Semantics & Ontology]]
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- [[Signal in Noise]]
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- [[Signal Processing Foundations]]
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- [[Similarity Metrics]]
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- [[Simulated Annealing]]
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- [[Singular Value Decomposition (SVD)]]
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- [[Social Network Analysis]]
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- [[Social Systems Theory]]
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- [[Spatial Data Analysis]]
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- [[Standard Deviation and Variance]]
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- [[Statistical Power]]
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- [[Statistics]]
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- [[Strategic Thinking]]
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- [[Structural Equation Modeling]]
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- [[Structured Data]]
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- [[Systemic Simulation Principles]]
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### T
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- [[Theoretical Computer Science]]
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- [[Theta Gamma Coupling]]
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- [[Turing Machine Foundations]]
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### V
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- [[VPS-NeRF (Visual Positioning + Neural Radiance Fields)]]
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### W
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- [[Weak Central Coherence Theory]]
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- [[Wicked Problems]]
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- [[Working Memory]]
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### 가나다
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- [[탄도학 및 명중률 알고리즘 (Ballistics and Accuracy Algorithms)]]
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_147 docs · 자동 생성 2026-06-08_
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