Artificial intelligence publications
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Efficient Duration and Hierarchical Modeling for Human Activity Recognition
In this paper, we argue that in dealing with ADLs, it is beneficial to exploit both their typical duration patterns and inherent hierarchical structures.
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Co-Adaptation: Adaptive Co-Training for Semi-Supervised Learning
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…
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Leaving Flatland. Toward Real-Time 3D Navigation
We report our first experiences with Leaving Flatland, an exploratory project that studies the key challenges of closing the loop between autonomous perception and action on challenging terrain.
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Designing for Usability of an Adaptive Time Management Assistant
This case study article describes the iterative design process of an adaptive, mixed-initiative calendaring tool with embedded artificial intelligence.
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Efficient online learning and prediction of users’ desktop actions
We investigate prediction of users’ desktop activities in the Unix domain. We show that simple efficient many-class learning can perform well for action prediction, significantly improving over previously published results…
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Prediction and Discovery of Users’ Desktop Behavior
In the first part of the paper, we show that efficient many-class learning can perform well for action prediction in the Unix domain, significantly improving over previously published results
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What Were You Thinking? Filling in Missing Dataflow Through Inference in Learning from Demonstration
This paper addresses the problem of learning from demonstrations involving unobservable (e.g., mental) actions. We explore the use of knowledge base inference to complete missing dataflow and investigate the approach…
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Evolutionary Sequence Modeling for Discovery of Peptide Hormones
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…
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Usable Intelligent Interactive Systems: Chi 2009 Special Interest Group Meeting
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.
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2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, CIMSA 2009: Message from the Chairs
Presents the welcome message from the conference proceedings.
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Anytime Lifted Belief Propagation
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…
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Learning By Demonstration to Support Military Planning and Decision Making
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…