Guide-yakabatana mibvunzo · Zvakaoma Nhanho

Yakavanzika Markov Models Quiz

Inotarisa HMM inoti, shanduko uye emissions, iyo Forward uye Viterbi algorithms, Baum-Welch kudzidza uye kutevedzana kutsamira.

Nzira dzekutungamira dzinoenderanaAkavanzika Markov Models
Mubvunzo 1 ye 8

Ko iyo 'yakavanzika' muYakavanzika Markov Model inoreva chii?

Tarisa mubvunzo wese8 mibvunzo

Mhinduro uye tsananguro zvinoonekwa paunenge uchitora bvunzo.

  1. Ko iyo 'yakavanzika' muYakavanzika Markov Model inoreva chii?
    • Manyika haaonekwe uye anotorwa kubva kune zvakabuda
    • Iyo modhi paramita yakavanzika
    • Zvaonekwa zvakavharwa
    • Shanduko dzinongoitika uye hazvizivikanwe
  2. Chii chinonzi Markov chivakwa chinotorwa neHMM?
    • Nyika dzese dzinoburitsa chiratidzo chimwechete
    • Iyo inotevera mamiriro inotsamira chete pane yazvino mamiriro
    • Zvaonekwa zvakasununguka kubva kumatunhu
    • Nyika yese ine mukana wakaenzana
  3. Ndeipi algorithm inowana iyo imwechete inogona kutevedzana yematunhu akavanzika?
    • Iyo Forward algorithm
    • Baum-Welch
    • Iyo Viterbi algorithm
    • Gradient descent
  4. Ndeapi matatu maseti ezvinobvira anotsanangura zvizere HMM?
    • Pamberi, zvingangoitika, uye humbowo
    • Zvinoreva, musiyano, uye covariance
    • Kupinza, kuvigwa, uye kuburitsa huremu
    • Yekutanga mamiriro, shanduko, uye emission mikana
  5. Chii chinoita Baum-Welch algorithm?
    • Inodzidza HMM paramita kubva kune data kuburikidza nekutarisira-kuwedzera
    • Encrypts kutevedzana kwekutarisa
    • Inowana iyo inonyanya kungoita nzira imwe chete
    • Inokokorodza iyo chaiyo shanduko matrix mune yakavharwa fomu
  6. Which Transformer feature can directly relate tokens at distant positions in a sequence?
    • An HMM emission table
    • Self-attention over positions in the input
    • A fixed single-state transition
    • A requirement to process only one token ever
  7. What does the Forward algorithm compute for a sequence of observations?
    • Only the single most likely state path
    • The most likely parameter initialization
    • The total probability of the observations by summing over possible hidden-state paths
    • The mean of the emission probabilities
  8. A hidden state emits a word or acoustic symbol. Which HMM probability describes that relation?
    • The initial-state probability
    • The transition probability
    • The discount factor
    • The emission probability