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» Action modeling with volumetric data
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AIED
2009
Springer
14 years 2 months ago
I learn from you, you learn from me: How to make iList learn from students
We developed a new model for iList, our system that helps students learn linked list. The model is automatically extracted from past student data, and allows iList to track student...
Davide Fossati, Barbara Di Eugenio, Stellan Ohlsso...
FOCS
2004
IEEE
13 years 11 months ago
Stochastic Optimization is (Almost) as easy as Deterministic Optimization
Stochastic optimization problems attempt to model uncertainty in the data by assuming that (part of) the input is specified in terms of a probability distribution. We consider the...
David B. Shmoys, Chaitanya Swamy
ICMCS
2005
IEEE
172views Multimedia» more  ICMCS 2005»
14 years 1 months ago
A Study of Synthesizing New Human Motions from Sampled Motions Using Tensor Decomposition
This paper applies an algorithm, based on Tensor Decomposition, to a new synthesis application: by using sampled motions of people of different ages under different emotional stat...
Rovshan Kalanov, Jieun Cho, Jun Ohya
WAC
2005
Springer
118views Communications» more  WAC 2005»
14 years 1 months ago
Towards a Reliable, Wide-Area Infrastructure for Context-Based Self-management of Communications
Abstract. In this paper we describe ConStruct, a distributed, contextaggregation based service infrastructure which supports the development of context-aware applications. ConStruc...
Graeme Stevenson, Paddy Nixon, Simon A. Dobson
DAGSTUHL
2007
13 years 9 months ago
Learning Probabilistic Relational Dynamics for Multiple Tasks
The ways in which an agent’s actions affect the world can often be modeled compactly using a set of relational probabilistic planning rules. This paper addresses the problem of ...
Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer...