Sumários
Extração de informação
19 outubro 2017, 11:00 • Pável Pereira Calado
- Exercícios de extracção de informação e HMMs.
Information Extraction with Hidden Markov Models (cont.)
19 outubro 2017, 09:30 • Bruno Emanuel Da Graça Martins
- Supervised Training of Hidden Markov Models
- Maximum Likelihood Estimation
- Parameter smoothing
- Unsupervised Training of Hidden Markov Models
- The Segmental K-Means Algorithm
- Discriminative Models for Structured Prediction (i.e., for predicting sequences)
- The Structured Perceptron Algorithm
- Conditional Random Fields (general overview.)
Information Extraction with Hidden Markov Models (cont.)
19 outubro 2017, 09:30 • Bruno Emanuel Da Graça Martins
- Supervised Training of Hidden Markov Models
- Maximum Likelihood Estimation
- Parameter smoothing
- Unsupervised Training of Hidden Markov Models
- The Segmental K-Means Algorithm
- Discriminative Models for Structured Prediction (i.e., for predicting sequences)
- The Structured Perceptron Algorithm
- Conditional Random Fields (general overview.)
Extração de informação
18 outubro 2017, 11:30 • Pável Pereira Calado
- Exercícios de extracção de informação e HMMs.
Document Clustering and Classification
13 outubro 2017, 15:30 • Bruno Emanuel Da Graça Martins
- Programming exercises about document clustering and classification
- Exercise about the naive Bayes classifier
- Support to the course project