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» Learning Behavior Models for Hybrid Timed Systems
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IDA
2002
Springer
15 years 4 months ago
Online classification of nonstationary data streams
Most classification methods are based on the assumption that the data conforms to a stationary distribution. However, the real-world data is usually collected over certain periods...
Mark Last
ATAL
2008
Springer
15 years 6 months ago
Modeling parallel and reactive empathy in virtual agents: an inductive approach
Humans continuously assess one another's situational context, modify their own affective state, and then respond based on these outcomes through empathetic expression. Virtua...
Scott W. McQuiggan, Jennifer L. Robison, Robert Ph...
ITS
2000
Springer
128views Multimedia» more  ITS 2000»
15 years 8 months ago
Active Learner Modelling
Abstract. It is common to think of a "learner model" as a global description of a student's understanding of domain content. We propose a notion of learner model whe...
Gordon I. McCalla, Julita Vassileva, Jim E. Greer,...
TII
2010
124views Education» more  TII 2010»
14 years 11 months ago
Address-Independent Estimation of the Worst-case Memory Performance
Abstract--Real-time systems are subject to temporal constraints and require a schedulability analysis to ensure that task execution finishes within lower and upper specified bounds...
Basilio B. Fraguela, Diego Andrade, Ramon Doallo
152
Voted
CHI
2007
ACM
16 years 4 months ago
How it works: a field study of non-technical users interacting with an intelligent system
In order to develop intelligent systems that attain the trust of their users, it is important to understand how users perceive such systems and develop those perceptions over time...
Joe Tullio, Anind K. Dey, Jason Chalecki, James Fo...