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AAAI
2008
15 years 8 months ago
Reinforcement Learning for Vulnerability Assessment in Peer-to-Peer Networks
Proactive assessment of computer-network vulnerability to unknown future attacks is an important but unsolved computer security problem where AI techniques have significant impact...
Scott Dejmal, Alan Fern, Thinh Nguyen
FLAIRS
2007
15 years 8 months ago
Learning to Identify Global Bottlenecks in Constraint Satisfaction Search
Using information from failures to guide subsequent search is an important technique for solving combinatorial problems in domains such as boolean satisfiability (SAT) and constr...
Diarmuid Grimes, Richard J. Wallace
ACMSE
2008
ACM
15 years 8 months ago
Education and design: using human-computer interaction case studies to learn
As computers become increasingly integral to daily life there is a need for computer scientists to focus on the user. This, in part, entails developing applications that have inte...
Gregory Smith, Laurian C. Vega, D. Scott McCrickar...
ATAL
2008
Springer
15 years 8 months ago
Learning to interact: connecting perception with action in virtual environments
Modeling synthetic characters which interact with objects in dynamic virtual worlds is important when we want the agents to act in an autonomous and non-preplanned way. Such inter...
Pedro Sequeira, Ana Paiva
AIME
2005
Springer
15 years 8 months ago
An Algorithm to Learn Causal Relations Between Genes from Steady State Data: Simulation and Its Application to Melanoma Dataset
In recent years, a few researchers have challenged past dogma and suggested methods (such as the IC algorithm) for inferring causal relationship among variables using steady state ...
Xin Zhang, Chitta Baral, Seungchan Kim