Abstract—Recommendation systems take artifacts about items and provide suggestions to the user on what other products the might like. There are many different types of recommender algorithms, including nearest-neighbor, linear classifiers and SVMs. However, most recommender systems are collaborative systems that rely on users to rate the products that they bought. This paper presents a [...]
Posts Tagged ‘classification’
Decision Tree Learning Acting As A Cardiologist
Abstract—Decision trees are one of the most widely used methods of inductive inference. They can be used to learn discrete or continuous valued hypotheses and create compact rules for evaluation of a set of data. An advantage of decision and regression trees is that they are robust to noisy data, which makes them perfectly suited [...]