Artificial intelligence publications

In this paper, we argue that in dealing with ADLs, it is beneficial to exploit both their typical duration patterns and inherent hierarchical structures.

Inspired by popular co-training and domain adaptation methods, we propose a co-adaptation algorithm. The goal is improving the performance of a dialog act segmentation model by exploiting the vast amount…

We describe a computational framework that models  spatial  structure along the genomic sequence simultaneously with the temporal evolutionary path structure across species and show how such models can be used to discover…

This special interest group provides a forum to examine the apparent gap between HCI and AI communities, to explore how intelligent technologies can enable novel interaction with computation.

Presents the welcome message from the conference proceedings.

We present an algorithm, Anytime Lifted Belief Propagation, that corresponds to this intuition by performing shattering during belief propagation inference, on an as-needed basis, starting on the most relevant parts…

We describe the development and application of learning by demonstration technology to support user creation of automated procedures for a rich collaborative planning environment that is in widespread use by…

We present a very simple technique to compile List Comprehension in the Loop Facility of Common Lisp, resulting in efficient code that avoids stack overflow.

We present an integrated task learning system (ITL) that learns executable procedures based on user demonstration and instruction, constituting a first step toward a broader solution for procedure management.

When creating algorithms or systems that are supposed to be used by people, we should be able to adopt a “binocular” view of users’ interaction with intelligent systems: a view…

This paper presents a case study that explores how to instantiate a question asking framework to select questions for a particular type of learner used within learning by demonstration systems,…