Sciweavers

AAAI
2011
12 years 5 months ago
Multi-Observation Sensor Resetting Localization with Ambiguous Landmarks
Successful approaches to the robot localization problem include Monte Carlo particle filters, which estimate non-parametric localization belief distributions. However, particle ...
Brian Coltin, Manuela M. Veloso
AAAI
2011
12 years 5 months ago
Transfer Learning by Structural Analogy
Transfer learning allows knowledge to be extracted from auxiliary domains and be used to enhance learning in a target domain. For transfer learning to be successful, it is critica...
Hua-Yan Wang, Qiang Yang
AAAI
2011
12 years 5 months ago
Decentralised Control of Micro-Storage in the Smart Grid
In this paper, we propose a novel decentralised control mechanism to manage micro-storage in the smart grid. Our approach uses an adaptive pricing scheme that energy suppliers app...
Thomas Voice, Perukrishnen Vytelingum, Sarvapali D...
AAAI
2011
12 years 5 months ago
Temporal Dynamics of User Interests in Tagging Systems
Collaborative tagging systems are now deployed extensively to help users share and organize resources. Tag prediction and recommendation systems generally model user behavior as r...
Dawei Yin, Liangjie Hong, Zhenzhen Xue, Brian D. D...
AAAI
2011
12 years 5 months ago
Learning Accuracy and Availability of Humans Who Help Mobile Robots
When mobile robots perform tasks in environments with humans, it seems appropriate for the robots to rely on such humans for help instead of dedicated human oracles or supervisors...
Stephanie Rosenthal, Manuela M. Veloso, Anind K. D...
AAAI
2011
12 years 5 months ago
Improving Semi-Supervised Support Vector Machines Through Unlabeled Instances Selection
Semi-supervised support vector machines (S3VMs) are a kind of popular approaches which try to improve learning performance by exploiting unlabeled data. Though S3VMs have been fou...
Yu-Feng Li, Zhi-Hua Zhou
AAAI
2011
12 years 5 months ago
Abductive Markov Logic for Plan Recognition
Plan recognition is a form of abductive reasoning that involves inferring plans that best explain sets of observed actions. Most existing approaches to plan recognition and other ...
Parag Singla, Raymond J. Mooney
AAAI
2011
12 years 5 months ago
Heterogeneous Transfer Learning with RBMs
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
Bin Wei, Christopher Pal
AAAI
2011
12 years 5 months ago
Qualitative Numeric Planning
We consider a new class of planning problems involving a set of non-negative real variables, and a set of non-deterministic actions that increase or decrease the values of these v...
Siddharth Srivastava, Shlomo Zilberstein, Neil Imm...