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ACMICEC
2008
ACM
272views ECommerce» more  ACMICEC 2008»
13 years 9 months ago
Adapting the interaction state model in conversational recommender systems
Conventional conversational recommender systems support interaction strategies that are hard-coded into the system in advance. In this context, Reinforcement Learning techniques h...
Tariq Mahmood, Francesco Ricci
ATAL
2004
Springer
14 years 1 months ago
Trust Dynamics: How Trust Is Influenced by Direct Experiences and by Trust Itself
In this paper we will examine two main aspects of trust dynamics: a) How direct experiences involving trust, with their successes or failures, influence the future trust of an age...
Rino Falcone, Cristiano Castelfranchi
JNW
2007
87views more  JNW 2007»
13 years 8 months ago
Modeling of IEEE 802.11 DCF for Transient State Conditions
—Performance of IEEE 802.11 distributed coordination function (DCF) has been studied by several authors under steady-state conditions. Behavior of DCF under transient state condi...
Rama Krishna Challa, Saswat Chakrabarti, Debasish ...
IAT
2009
IEEE
14 years 2 months ago
Introducing Communication in Dis-POMDPs with Finite State Machines
Distributed Partially Observable Markov Decision Problems (DisPOMDPs) are emerging as a popular approach for modeling sequential decision making in teams operating under uncertain...
Yuki Iwanari, Makoto Tasaki, Makoto Yokoo, Atsushi...
CVPR
2007
IEEE
14 years 10 months ago
Searching Video for Complex Activities with Finite State Models
We describe a method of representing human activities that allows a collection of motions to be queried without examples, using a simple and effective query language. Our approach...
Nazli Ikizler, David A. Forsyth