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Antonsson 2021

Last edited: August 8, 2025

DOI: 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, 2025

Anytime Error Minimization Search

Last edited: August 8, 2025

Big 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:

  1. uncertainty in the value function
  2. reachability from the current belief
  3. 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, 2025

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