In language processing, it is an essential step to detect which language it is before speech recognition and machine translation. This blog post presents an approach to distinguish Chinese and English from speech (an audio sample) using a neural network model. Spark is used to perform data preprocessing, and TensorFlow ...

As one of the most important methods in artificial intelligence (AI), especially for playing games, Monte Carlo tree search (MCTS) has received considerable interest due to its spectacular success in the difficult problem of computer Go. In fact, most successful computer Go algorithms are powered by MCTS, including the recent ...

It has been a long time since the idea of neural networks was proposed, but it is really during the last few years that neural networks have become widely used. One of the major enablers is the infrastructure with high computational capability (e.g., cloud computing), which makes the training ...

In statistical modeling, it is possible that some observations are just missing. For example, when flipping two biased coins with unknown biases, we only have a sequence of observations on heads and tails, but forgot to record which coin each observation comes from. In this case, the conventional maximum likelihood ...

The generative classification model, such as Naive Bayes, tries to learn the probabilities and then predict by using Bayes rules to calculate the posterior, \(p(y|\textbf{x})\). However, discrimitive classifiers model the posterior directly. As one of the most popular discrimitive classifiers, logistic regression directly models the linear decision ...