In many real-world tasks, there are abundant unlabeled examples but the number of labeled
training examples is limited, because labeling the examples requires human efforts and …

A fundamental goal of scientific research is to learn about causal relationships. However,
despite its critical role in the life and social sciences, causality has not had the same …

Semi-supervised data are quite common in the process industry, which has caught much
attention in recent years. The semi-supervised feature of process data not only has a great …

In many practical data mining applications, such as Web page classification, unlabeled
training examples are readily available, but labeled ones are fairly expensive to obtain …

We present a simple, but surprisingly effective, method of self-training a twophase parser-
reranker system using readily available unlabeled data. We show that this type of …

In computer-aided diagnosis (CAD), machine learning techniques have been widely applied
to learn a hypothesis from diagnosed samples to assist the medical experts in making a …

The analysis of natural disaster-related multimedia content got great attention in recent
years. Being one of the most important sources of information, social media have been …

In many practical machine learning and data mining applications, unlabeled training
examples are readily available but labeled ones are fairly expensive to obtain. Therefore …

Broad coverage, high quality parsers are available for only a handful of languages. A
prerequisite for develo** broad coverage parsers for more languages is the annotation of …

Software defect prediction can help us better understand and control software quality.
Current defect prediction techniques are mainly based on a sufficient amount of historical …