Incorporating Background Knowledge for Better Prediction of Cycle Phases

Incorporating Background Knowledge for Better Prediction of Cycle Phases

Incorporating Background Knowledge into Text Classification

It has been shown that prior knowledge and information are organized according to categories, and that also background knowledge plays an important role in classification. The purpose of this study is first, to investigate the relationship between background knowledge and text classification, and second, to incorporate this relationship in a computational model. Our behavioral results demonstra...

Incorporating Background Knowledge into Text Categorization for Improved Sentiment Analysis

In many applications, we not only have training examples that enable supervised learning, but, we also have background knowledge about the task. Traditionally, supervised learning algorithms tend to focus only on learning from the training examples. However, ignoring the background knowledge, in lieu of training data, is sub-optimal. As an alternative in the realm of text classification, we pro...

Product Aspect Clustering by Incorporating Background Knowledge for Opinion Mining

Product aspect recognition is a key task in fine-grained opinion mining. Current methods primarily focus on the extraction of aspects from the product reviews. However, it is also important to cluster synonymous extracted aspects into the same category. In this paper, we focus on the problem of product aspect clustering. The primary challenge is to properly cluster and generalize aspects that h...

Incorporating Second-Order Functional Knowledge for Better Option Pricing

Incorporating prior knowledge of a particular task into the architecture of a learning algorithm can greatly improve generalization performance. We study here a case where we know that the function to be learned is non-decreasing in two of its arguments and convex in one of them. For this purpose we propose a class of functions similar to multi-layer neural networks but (1) that has those prope...