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» Learning from Collective Behavior
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112
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AAAI
2012
13 years 3 months ago
Goal Recognition with Markov Logic Networks for Player-Adaptive Games
Goal recognition in digital games involves inferring players’ goals from observed sequences of low-level player actions. Goal recognition models support player-adaptive digital ...
Eun Y. Ha, Jonathan P. Rowe, Bradford W. Mott, Jam...
107
Voted
EDOC
2006
IEEE
15 years 6 months ago
Service Interaction Modeling: Bridging Global and Local Views
In a Service-Oriented Architecture (SOA), a system is viewed as a collection of independent units (services) that interact with one another through message exchanges. Established ...
Johannes Maria Zaha, Marlon Dumas, Arthur H. M. te...
160
Voted
WWW
2010
ACM
15 years 7 months ago
Factorizing personalized Markov chains for next-basket recommendation
Recommender systems are an important component of many websites. Two of the most popular approaches are based on matrix factorization (MF) and Markov chains (MC). MF methods learn...
Steffen Rendle, Christoph Freudenthaler, Lars Schm...
86
Voted
SIGSOFT
2007
ACM
16 years 1 months ago
Symbolic message sequence charts
Message Sequence Charts (MSCs) are a widely used visual formalism for scenario-based specifications of distributed reactive systems. In its conventional usage, an MSC captures an ...
Abhik Roychoudhury, Ankit Goel, Bikram Sengupta
89
Voted
HPCA
2002
IEEE
16 years 1 months ago
A New Memory Monitoring Scheme for Memory-Aware Scheduling and Partitioning
We propose a low overhead, on-line memory monitoring scheme utilizing a set of novel hardware counters. The counters act like pressure gauges indicating the marginal gain in the n...
G. Edward Suh, Srinivas Devadas, Larry Rudolph