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LCTRTS
2007
Springer
15 years 7 months ago
Integrated CPU and l2 cache voltage scaling using machine learning
Embedded systems serve an emerging and diverse set of applications. As a result, more computational and storage capabilities are added to accommodate ever more demanding applicati...
Nevine AbouGhazaleh, Alexandre Ferreira, Cosmin Ru...
119
Voted
ALT
1995
Springer
15 years 4 months ago
Learning Unions of Tree Patterns Using Queries
This paper characterizes the polynomial time learnability of TPk, the class of collections of at most k rst-order terms. A collection in TPk de nes the union of the languages de n...
Hiroki Arimura, Hiroki Ishizaka, Takeshi Shinohara
ELPUB
2006
ACM
15 years 6 months ago
Modelling a Layer for Real-Time Management of Interactions in Web Based Distance Learning
In the last few years, the University of Aveiro, Portugal, has been offering several distance learning courses over the Web, using e-learning platforms. Experience showed that dif...
Carlos Sousa Pinto, Fernando M. S. Ramos
120
Voted
AIPS
2007
15 years 3 months ago
Learning to Plan Using Harmonic Analysis of Diffusion Models
This paper summarizes research on a new emerging framework for learning to plan using the Markov decision process model (MDP). In this paradigm, two approaches to learning to plan...
Sridhar Mahadevan, Sarah Osentoski, Jeffrey Johns,...
107
Voted
ICALP
2009
Springer
16 years 1 months ago
Learning Halfspaces with Malicious Noise
We give new algorithms for learning halfspaces in the challenging malicious noise model, where an adversary may corrupt both the labels and the underlying distribution of examples....
Adam R. Klivans, Philip M. Long, Rocco A. Servedio