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NIPS
2007
15 years 18 days ago
Regularized Boost for Semi-Supervised Learning
Semi-supervised inductive learning concerns how to learn a decision rule from a data set containing both labeled and unlabeled data. Several boosting algorithms have been extended...
Ke Chen 0001, Shihai Wang
PDPTA
2007
15 years 18 days ago
Scheduling Divisible Workloads from Multiple Sources in Linear Daisy Chain Networks
— This paper considers scheduling divisible workloads from multiple sources in linear networks of processors. We propose a two phase scheduling strategy (TPSS) to minimize the ov...
Xinxin Liu, Han Zhao, Xiaolin Li
AAAI
2004
15 years 17 days ago
Task Allocation via Self-Organizing Swarm Coalitions in Distributed Mobile Sensor Network
This paper presents a task allocation scheme via selforganizing swarm coalitions for distributed mobile sensor network coverage. Our approach uses the concepts of ant behavior to ...
Kian Hsiang Low, Wee Kheng Leow, Marcelo H. Ang Jr...
CLA
2006
15 years 17 days ago
Towards Concise Representation for Taxonomies of Epistemic Communities
We present an application of formal concept analysis aimed at creating and representing a meaningful structure of knowledge communities under the form of a lattice-based taxonomy ...
Camille Roth, Sergei A. Obiedkov, Derrick G. Kouri...
FLAIRS
2006
15 years 17 days ago
Focusing AI Students' Attention: A Framework-Based Approach to Guiding Impasse-Driven Learning
Research indicates that impasse-driven learning can have important benefits for improving student mastery of material. When students recognize gaps in their understanding of a con...
Steven Bogaerts, David B. Leake