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OZCHI
2005
ACM
14 years 1 months ago
Making sense of student use of nonverbal cues for intelligent tutoring systems
Many software systems would significantly improve performance if they could interpret the nonverbal cues in their user’s interactions as humans normally do. Currently, Intellige...
Farhad Dadgostar, Hokyoung Ryu, Abdolhossein Sarra...
NIPS
2008
13 years 9 months ago
Learning with Consistency between Inductive Functions and Kernels
Regularized Least Squares (RLS) algorithms have the ability to avoid over-fitting problems and to express solutions as kernel expansions. However, we observe that the current RLS ...
Haixuan Yang, Irwin King, Michael R. Lyu
IWPC
2005
IEEE
14 years 1 months ago
An Investigation into Professional Programmers' Mental Representations of Variables
Very little is known about professional programmers’ mental representations of variables, yet this information is vital in designing effective tools for program comprehension. I...
Jorma Sajaniemi, Raquel Navarro-Prieto
ICML
1994
IEEE
13 years 11 months ago
Learning Without State-Estimation in Partially Observable Markovian Decision Processes
Reinforcement learning (RL) algorithms provide a sound theoretical basis for building learning control architectures for embedded agents. Unfortunately all of the theory and much ...
Satinder P. Singh, Tommi Jaakkola, Michael I. Jord...
FLAIRS
2004
13 years 9 months ago
VENUS: A System for Novelty Detection in Video Streams with Learning
Novelty detection in video is a rapidly developing application domain within computer vision. The motivation behind this paper is a learning based framework for detecting novelty ...
Roger S. Gaborski, Vishal S. Vaingankar, Vineet Ch...