Antonsson 2021
Last edited: August 8, 2025DOI: 10.3389/fnagi.2020.607449
One-Liner
oral lexical retrieval works better than qualitative narrative analysis to classify dementia; and semantic fluency + Disfluency features chucked on an SVM returns pretty good results.
Novelty
Tried two different assays of measuring linguistic ability: oral lexical retrieval metrics, and qualitative discourse features analysis of speech.
Notable Methods
Subjects divided into three groups
- Great cog. decline
- Impaired but stable
- Healthy controls
Administered BNT and SVF tests as baseline

Key Figs
Table 3

This figure tells us that the percentages of unrelated utterances was a statistically significant metric to figure differences between the three experimental groups.
any name here
Last edited: August 8, 2025Anytime Error Minimization Search
Last edited: August 8, 2025Big picture: combining off-line and on-line approaches maybe the best way to tackle large POMDPs.
Try planning:
- only where we are
- only where we can reach
Take into account three factors:
- uncertainty in the value function
- reachability from the current belief
- actions that are likely optimal
It allows policy improvement on any base policy.
Setup
Discrete POMDPs:
- \(L\), lower bound
- \(U\), upper-bound
- \(b_0\): current belief
Two main phases: the algorithm
aosneuhasoneuh
Last edited: August 8, 2025eansoetuhaosneu
AP Phys C EM Index
Last edited: August 8, 2025Other Factoids
Chapters
- coulomb’s law
- superposition
- electric field
- Gauss’ Law
- electric potential
- current
- Ohm’s Law
- resistor
- kirchoff’s laws
- Capacitor
- Dynamic RC Circuits
- magnetism
- faraday’s law
