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258
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EH
1999
IEEE
351views Hardware» more  EH 1999»
15 years 8 months ago
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...
145
Voted
ICDE
2006
IEEE
208views Database» more  ICDE 2006»
15 years 9 months ago
Integrating Databases into the Semantic Web through an Ontology-Based Framework
To realize the Semantic Web, it will be necessary to make existing database content available for emerging Semantic Web applications, such as web agents and services, which use on...
Dejing Dou, Paea LePendu, Shiwoong Kim, Peishen Qi
121
Voted
PKDD
2009
Springer
147views Data Mining» more  PKDD 2009»
15 years 10 months ago
Kernel Polytope Faces Pursuit
Abstract. Polytope Faces Pursuit (PFP) is a greedy algorithm that approximates the sparse solutions recovered by 1 regularised least-squares (Lasso) [4,10] in a similar vein to (Or...
Tom Diethe, Zakria Hussain
130
Voted
IR
2010
15 years 2 months ago
Adapting boosting for information retrieval measures
Abstract We present a new ranking algorithm that combines the strengths of two previous methods: boosted tree classification, and LambdaRank, which has been shown to be empiricall...
Qiang Wu, Christopher J. C. Burges, Krysta Marie S...
146
Voted
CVPR
2008
IEEE
16 years 5 months ago
Transfer learning for image classification with sparse prototype representations
To learn a new visual category from few examples, prior knowledge from unlabeled data as well as previous related categories may be useful. We develop a new method for transfer le...
Ariadna Quattoni, Michael Collins, Trevor Darrell