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NIPS
2000
14 years 11 months ago
A Neural Probabilistic Language Model
A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because of the curse of dim...
Yoshua Bengio, Réjean Ducharme, Pascal Vinc...
92
Voted
CHI
2009
ACM
15 years 10 months ago
Comparing the use of tangible and graphical programming languages for informal science education
Much of the work done in the field of tangible interaction has focused on creating tools for learning; however, in many cases, little evidence has been provided that tangible inte...
Michael S. Horn, Erin Treacy Solovey, R. Jordan Cr...
COCO
2005
Springer
123views Algorithms» more  COCO 2005»
15 years 3 months ago
If NP Languages are Hard on the Worst-Case Then It is Easy to Find Their Hard Instances
We prove that if NP ⊆ BPP, i.e., if SAT is worst-case hard, then for every probabilistic polynomial-time algorithm trying to decide SAT, there exists some polynomially samplable ...
Dan Gutfreund, Ronen Shaltiel, Amnon Ta-Shma
75
Voted
LCPC
2005
Springer
15 years 3 months ago
Optimizing Packet Accesses for a Domain Specific Language on Network Processors
Programming network processors remains a challenging task since their birth until recently when high-level programming environments for them are emerging. By employing domain speci...
Tao Liu, Xiao-Feng Li, Lixia Liu, Chengyong Wu, Ro...
COMPSAC
2002
IEEE
15 years 3 months ago
A Graphically Based Language for Constructing, Executing and Analysing Models of Software Systems
With computer systems becoming ever larger and more complex, the cost and effort associated with their construction is increasing and the systems are now sufficiently complex that...
Robert John Walters