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» Planning with predictive state representations
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RECOMB
2010
Springer
13 years 11 months ago
Subnetwork State Functions Define Dysregulated Subnetworks in Cancer
Abstract. Emerging research demonstrates the potential of proteinprotein interaction (PPI) networks in uncovering the mechanistic bases of cancers, through identification of intera...
Salim A. Chowdhury, Rod K. Nibbe, Mark R. Chance, ...
ACII
2011
Springer
12 years 9 months ago
Predicting Facial Indicators of Confusion with Hidden Markov Models
Affect plays a vital role in learning. During tutoring, particular affective states may benefit or detract from student learning. A key cognitiveaffective state is confusion, which...
Joseph F. Grafsgaard, Kristy Elizabeth Boyer, Jame...
SIGIR
2012
ACM
12 years 8 days ago
Search, interrupted: understanding and predicting search task continuation
Many important search tasks require multiple search sessions to complete. Tasks such as travel planning, large purchases, or job searches can span hours, days, or even weeks. Inev...
Eugene Agichtein, Ryen W. White, Susan T. Dumais, ...
IROS
2006
IEEE
127views Robotics» more  IROS 2006»
14 years 3 months ago
Learning Predictive Features in Affordance based Robotic Perception Systems
This work is about the relevance of Gibson’s concept of affordances [1] for visual perception in interactive and autonomous robotic systems. In extension to existing functional ...
Gerald Fritz, Lucas Paletta, Ralph Breithaupt, Eri...
PKDD
2009
Springer
102views Data Mining» more  PKDD 2009»
14 years 4 months ago
Relevance Grounding for Planning in Relational Domains
Probabilistic relational models are an efficient way to learn and represent the dynamics in realistic environments consisting of many objects. Autonomous intelligent agents that gr...
Tobias Lang, Marc Toussaint