vault backup: 2024-11-06 22:01:57
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9c6c172341
4 changed files with 24 additions and 5 deletions
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.obsidian/workspace.json
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.obsidian/workspace.json
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@ -21,8 +21,23 @@
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"icon": "lucide-file",
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"icon": "lucide-file",
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"title": "2 Logistic Regression"
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"title": "2 Logistic Regression"
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}
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}
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},
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{
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"id": "05c0bc2bcf419e5b",
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"type": "leaf",
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"state": {
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"type": "markdown",
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"state": {
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"file": "conflict-files-obsidian-git.md",
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"mode": "source",
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"source": false
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},
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"icon": "lucide-file",
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"title": "conflict-files-obsidian-git"
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}
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}
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]
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}
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],
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"currentTab": 1
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},
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},
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{
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{
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"id": "40447d7392f56019",
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"id": "40447d7392f56019",
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@ -235,8 +250,10 @@
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"obsidian-git:Open Git source control": false
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"obsidian-git:Open Git source control": false
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}
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}
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},
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},
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"active": "42dc8aa905e2dc18",
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"active": "05c0bc2bcf419e5b",
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"lastOpenFiles": [
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"lastOpenFiles": [
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"Foundation of data science/notes/2 Logistic Regression.md",
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"conflict-files-obsidian-git.md",
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"Biometric Systems/notes/6. Face recognition 2D.md",
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"Biometric Systems/notes/6. Face recognition 2D.md",
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"Biometric Systems/images/Pasted image 20241106144314.png",
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"Biometric Systems/images/Pasted image 20241106144314.png",
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"Senza nome.md",
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"Senza nome.md",
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@ -255,11 +272,9 @@
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"Autonomous Networking/notes/q&a.md",
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"Autonomous Networking/notes/q&a.md",
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"Foundation of data science/notes/4 L1 and L2 normalization.md",
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"Foundation of data science/notes/4 L1 and L2 normalization.md",
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"Autonomous Networking/notes/7 RL.md",
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"Autonomous Networking/notes/7 RL.md",
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"conflict-files-obsidian-git.md",
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"Foundation of data science/slides/Untitled.md",
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"Foundation of data science/slides/Untitled.md",
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"Untitled.md",
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"Untitled.md",
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"Foundation of data science/notes/3 Multi Class Binary Classification.md",
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"Foundation of data science/notes/3 Multi Class Binary Classification.md",
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"Foundation of data science/notes/2 Logistic Regression.md",
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"Autonomous Networking/notes/9 Markov processes.md",
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"Autonomous Networking/notes/9 Markov processes.md",
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"Autonomous Networking/notes/7.1 K-Armed bandit problem.md",
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"Autonomous Networking/notes/7.1 K-Armed bandit problem.md",
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"Autonomous Networking/notes/7.2 10 arm testbed - optimism in face of uncertainty.md",
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"Autonomous Networking/notes/7.2 10 arm testbed - optimism in face of uncertainty.md",
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@ -149,6 +149,10 @@ I look for the n (number of tags) value that minimizes the difference!
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Given N and a possible value of n, the expected number of slots with r tags is estimated as:
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Given N and a possible value of n, the expected number of slots with r tags is estimated as:
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![[Pasted image 20240928181424.png]]
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![[Pasted image 20240928181424.png]]
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$a_{0}=$ numero stimato di slot in cui non risponde nessun tag
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$a_{1}=$ numero stimato di slot in cui risponde un solo tag (numero di identificazioni)
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$a_{n}$ = numero stimato di slot in cui rispondono 2 o più tag
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##### Inaccuracy of tag estimation for large networks
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##### Inaccuracy of tag estimation for large networks
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- The estimator does not capture the possibly high variance of the number of tags
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- The estimator does not capture the possibly high variance of the number of tags
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- The minimum distance is computed over n ranging in $[c_1 + 2c_k, 2(c1 + 2c_k)]$
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- The minimum distance is computed over n ranging in $[c_1 + 2c_k, 2(c1 + 2c_k)]$
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@ -6,7 +6,7 @@ IoT term is used to refer to
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required features:
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required features:
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- devices hetereogeneity
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- devices hetereogeneity
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- scalability
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- scalability
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- data ubiquitous data exchange
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- ubiquitous data exchange
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- energy-optimized solutions
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- energy-optimized solutions
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key features:
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key features:
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