Juan Císcar, Alfonso; Civera Saiz, Jorge; Sanchis Navarro, José Alberto(Universitat Politècnica de València, 2019-05-23)
The training objectives of the learning object are: 1) To define a classification tree; and 2) To apply a conventional learning algorithm. Both objectives are covered at a basic level with help of simple examples.
Juan Císcar, Alfonso; Sanchis Navarro, José Alberto; Civera Saiz, Jorge(Universitat Politècnica de València, 2019-05-23)
The training objectives of the learning object are: 1) To analyze the partitional clustering problem under the Sum of Squared Errors criterion; 2) Learning object to introduce clustering and the C-means (or K-means) algorithm ...
Juan Císcar, Alfonso; Sanchis Navarro, José Alberto; Civera Saiz, Jorge(Universitat Politècnica de València, 2019-06-28)
The training objectives of the learning object are: 1) To explain the difficulty of computing the probability of a string with a Hidden Markov Model (HMM); 2) To compute the prob. of a string with the Forward algorithm; ...
Juan Císcar, Alfonso; Sanchis Navarro, José Alberto; Civera Saiz, Jorge(Universitat Politècnica de València, 2019-05-30)
The training objectives of the learning object are: 1) To interpret a Hidden Markov Model (HMM); and 2) To compute the probability of a string directly. They are covered at a basic level with the help of simple examples.