Multitask Learning is an approach to inductive transfer that improves generalization by using
the domain information contained in the training signals of related tasks as an inductive bias …

We have long envisioned that one day computers will understand natural language and
anticipate what we need, when and where we need it, and proactively complete tasks on our …

A personal intelligent agent (PIA) is a system that acts intelligently to assist a human using
natural language. Examples include Siri and Alexa. These agents are powerful computer …

This paper focuses on how to effectively construct dynamic financial distress prediction
models based on class-imbalanced data streams. Two class-imbalanced dynamic financial …

Since their introduction in the early 1990's, automated recommender systems have
revolutionized the marketing and delivery of commerce and content by providing …

Witten and Frank's textbook was one of two books that 1 used for a data mining class in the
Fall of 2001. The book covers all major methods of data mining that produce a knowledge …

The convergence of computing and communication has produced a society that feeds on
information. Yet most of the information is in its raw form: data. If data is characterized as …

Decision trees have proved to be valuable tools for the description, classification and
generalization of data. Work on constructing decision trees from data exists in multiple …

Agent software is a rapidly develo** area of research. However, the overuse of the word
“agent” has tended to mask the fact that, in reality, there is a truly heterogeneous body of …

We present an ensemble method for concept drift that dynamically creates and removes
weighted experts in response to changes in performance. The method, dynamic weighted …