Now let's move on, and I want to do just one more example.
Here's this input, and my program came up with "g in or mouse go"--
a sequence of common words, but the correct answer was "ginormous ego."
Again, what do you think could help us get the right answer this time?
More data? Making the Markov assumption rather than naive Bayes assumption?
Or doing a better job with smoothing. Check all the ones that you think might apply.
では続けましょう もう1つ例を挙げます
こちらの文字列を試すとプログラムから
“g in or mouse go”が得られます
一般的な文字列ですが正しい答えは
“ginormous ego”です
ここで同じ問題です
ここで正解を得るには何が有効でしょうか?
たくさんのデータ?
ナイーブベイズ仮定よりマルコフ仮定の適用?
それともスムージングでしょうか?
該当するものすべてを選んでください