_index.org

Lyrics: Ping

Last edited: August 8, 2025

Seed: walking, loving

  • Walking

  • Skipping

  • Shoes

  • Road

  • Running

  • Forward

  • Speed

  • Plane

  • Travel

  • Unique

  • Cold

  • House

  • Loving

  • Cuddling

  • Kissing

  • Holding

  • Together

  • Staring

  • Longing

  • Establish

  • Spending time

  • Waving

  • Welling


Walking together, staring forward longing you

Loving together, skipping forward, a cold house

Cuddling down the avenue, spending time there, Waving by

Establish what it’s like,

Lyrics: Unnatural Exploration

Last edited: August 8, 2025

Seed: explore, wild

  • explore

  • learn

  • resources

  • mineral

  • detail

  • feature

  • fact

  • police

  • duty

  • particulars

  • deposit

  • assign

  • undertake

  • natural

  • environment

  • cultivate

  • region

  • harshly

  • untrusting

  • nervous

  • increasing

  • changing

  • period

  • become greater


We go explore, changing times, parting ways.

Wanting no praise, become greater Than ever

We go explore, shining lights moving stars

Finding no target, we cannot expect to see

How can we explore if we can’t even feed? Ourselves? Our families? Our digitaries?

Lyu 2018

Last edited: August 8, 2025

DOI: 10.1109/CISP-BMEI.2018.8633126

A dataset paper with which auditory info about people talking is collected.

Here are the state-of-the-art as of Laguarta 2021 on the dataset proposed.

machine learning

Last edited: August 8, 2025

CS229: instead of solving a problem, learn from data to find a model to solve the problem approximately.

CS109: machine learning is the act of using some input to come up with some prediction, where the model is parameterized via a bunch of parameters. Hence, parameter learning approaches is how machine learning works.

CS205L: training data + model to estimate new data points with minimal error; the parallel is a “knowledge based system” with interpolation

macroaverage

Last edited: August 8, 2025

For multi-class classification, the macroaverage is the average of statistical values (prec, recc, etc.) after they have been computed for each seperate class.

The microaverage is the combination of a confusion matrix BEFORE statistical values are computed.