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87
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CORR
2007
Springer
112views Education» more  CORR 2007»
15 years 23 days ago
Learning from compressed observations
— The problem of statistical learning is to construct a predictor of a random variable Y as a function of a related random variable X on the basis of an i.i.d. training sample fr...
Maxim Raginsky
125
Voted
KI
2008
Springer
15 years 23 days ago
Learning by Observing: Case-Based Decision Making in Complex Strategy Games
Abstract. There is a growing research interest in the design of competitive and adaptive Game AI for complex computer strategy games. In this paper, we present a novel approach for...
Darko Obradovic, Armin Stahl
92
Voted
WWW
2007
ACM
16 years 1 months ago
Learning information intent via observation
Workers in organizations frequently request help from assistants by sending request messages that express information intent: an intention to update data in an information system....
Anthony Tomasic, Isaac Simmons, John Zimmerman
ICML
2010
IEEE
15 years 1 months ago
Efficient Learning with Partially Observed Attributes
We describe and analyze efficient algorithms for learning a linear predictor from examples when the learner can only view a few attributes of each training example. This is the ca...
Nicolò Cesa-Bianchi, Shai Shalev-Shwartz, O...
CORR
2007
Springer
117views Education» more  CORR 2007»
15 years 23 days ago
Instrumented Collective Learning Situations (ICLS): the Gap between Theoretical Research and Observed Practices
: According to socio-constructivism approach, collective situations are promoted to favor learning in classroom, at a distance or in a blended educational context. So, many Informa...
Christine Michel, Élise Garrot, Séba...