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PERCOM
2007
ACM
16 years 5 months ago
Structural Learning of Activities from Sparse Datasets
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...
Fahd Albinali, Nigel Davies, Adrian Friday
CEC
2007
IEEE
15 years 10 months ago
Emergence of feedback in artificial gene regulatory networks
In this paper, we present a model for simulating the evolution of development together with a method for the analysis of emergence of negative feedback inside the regulatory networ...
Till Steiner, Lisa Schramm, Yaochu Jin, Bernhard S...
IMC
2010
ACM
15 years 4 months ago
Flowroute: inferring forwarding table updates using passive flow-level measurements
The reconvergence of routing protocols in response to changes in network topology can impact application performance. While improvements in protocol specification and implementati...
Amogh Dhamdhere, Lee Breslau, Nick G. Duffield, Ch...
UM
2005
Springer
15 years 11 months ago
Data-Driven Refinement of a Probabilistic Model of User Affect
We present further developments in our work on using data from real users to build a probabilistic model of user affect based on Dynamic Bayesian Networks (DBNs) and designed to de...
Cristina Conati, Heather Maclaren
MLDM
2009
Springer
16 years 24 days ago
An Evidence-Driven Probabilistic Inference Framework for Semantic Image Understanding
This work presents an image analysis framework driven by emerging evidence and constrained by the semantics expressed in an ontology. Human perception, apart from visual stimulus a...
Spiros Nikolopoulos, Georgios Th. Papadopoulos, Io...