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» Grounding Abstractions in Predictive State Representations
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ASPLOS
2006
ACM
9 years 2 months ago
Type inference for unboxed types and first class mutability
Systems programs rely on fine-grain control of data representation and use of state to achieve performance, conformance to hardware specification, and temporal predictability. T...
Swaroop Sridhar, Jonathan S. Shapiro
MSR
2015
ACM
3 years 4 months ago
Toward Deep Learning Software Repositories
Abstract—Deep learning subsumes algorithms that automatically learn compositional representations. The ability of these models to generalize well has ushered in tremendous advanc...
CORR
2006
Springer
99views Education» more  CORR 2006»
8 years 8 months ago
Logical settings for concept learning from incomplete examples in First Order Logic
We investigate here concept learning from incomplete examples. Our first purpose is to discuss to what extent logical learning settings have to be modified in order to cope with da...
Dominique Bouthinon, Henry Soldano, Véroniq...
ML
2011
ACM
308views Machine Learning» more  ML 2011»
8 years 2 months ago
Relational information gain
Abstract. Type Extension Trees (TET) have been recently introduced as an expressive representation language allowing to encode complex combinatorial features of relational entities...
Marco Lippi, Manfred Jaeger, Paolo Frasconi, Andre...
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