Results 41 to 50 of about 56,633 (135)

OutRank: Speeding up AutoML-based Model Search for Large Sparse Data sets with Cardinality-aware Feature Ranking [PDF]

, 2023
Blaž Škrlj, Blaž Mramor
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Set-related restrictions for semantic groupings [PDF]

, 1989
Semantic database models utilize several fundamental forms of groupings to increase their expressive power. In this paper we consider four of the most common of these constructs; basic set groupings, is-a related groupings, power set groupings, and ...
Bic, Lubomir, Gilbert, Jonathan, Rundensteiner, Elke, Yin, Meng-Lai   +3 more
core  

Transforming N-ary relationships to database schemas: an old and forgotten problem [PDF]

, 2002
The N-ary relationships, have been traditionally a source of confusion and still are. One important source of confusion is that the term cardinality in a relationship has several interpretations, two of them being very popular.
Camps Pare, Rafael
core   +1 more source

High-Dimensional Screening Using Multiple Grouping of Variables [PDF]

, 2013
Screening is the problem of finding a superset of the set of non-zero entries in an unknown p-dimensional vector \beta* given n noisy observations. Naturally, we want this superset to be as small as possible.
Vats, Divyanshu
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Harnessing Graph Neural Networks to Predict International Trade Flows

Big Data and Cognitive Computing
In the realm of international trade and economic development, the prediction of trade flows between countries is crucial for identifying export opportunities.
Bassem Sellami, Chahinez Ounoughi, Tarmo Kalvet, Marek Tiits, Diego Rincon-Yanez   +4 more
doaj   +1 more source

Testing and Debugging Techniques for Answer Set Solver Development

, 2010
This paper develops automated testing and debugging techniques for answer set solver development. We describe a flexible grammar-based black-box ASP fuzz testing tool which is able to reveal various defects such as unsound and incomplete behavior, i.e ...
Brummayer, Robert, Järvisalo, Matti
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Weakly-supervised Dictionary Learning

, 2018
We present a probabilistic modeling and inference framework for discriminative analysis dictionary learning under a weak supervision setting. Dictionary learning approaches have been widely used for tasks such as low-level signal denoising and ...
Fern, Xiaoli Z., Kim, Jinsub, Raich, Raviv, You, Zeyu   +3 more
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A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation [PDF]

, 2021
Peizhi Wu, Gao Cong
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Solving Set Constraint Satisfaction Problems using ROBDDs

, 2011
In this paper we present a new approach to modeling finite set domain constraint problems using Reduced Ordered Binary Decision Diagrams (ROBDDs). We show that it is possible to construct an efficient set domain propagator which compactly represents many
Hawkins, P. J., Lagoon, V., Stuckey, P. J.   +2 more
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Algorithm Engineering in Robust Optimization

, 2015
Robust optimization is a young and emerging field of research having received a considerable increase of interest over the last decade. In this paper, we argue that the the algorithm engineering methodology fits very well to the field of robust ...
A Agra, A Atamtürk, A Beck, A Ben-Tal, A Ben-Tal, A Ben-Tal, A Ben-Tal, A Ben-Tal, A Ben-Tal, A Ben-Tal, A Ben-Tal, A Ben-Tal, A Ben-Tal, A Erera, A Kasperski, A Kasperski, A Kasperski, A Kasperski, A Mutapcic, A Ouorou, A Sbihi, A Schöbel, A Soyster, A Takeda, AB Chassein, B Roy, C Bohle, C Büsing, C Büsing, C Liebchen, D Bertsimas, D Bertsimas, D Bertsimas, D Bertsimas, D Bertsimas, D Bertsimas, D Bertsimas, D Bertsimas, D Catanzaro, D Delling, D Golovin, DJ Alem, DJ Thuente, E Conde, E Conde, E Conde, E Conde, F Bruns, F Pérez-Galarce, F Taniguchi, G Calafiore, G Calafiore, GC Calafiore, H Aissi, H Aissi, H Iida, H Mausser, H Yaman, HE Mausser, I Averbakh, I Averbakh, J Goh, J Lin, J Löfberg, J Pereira, J Xu, JE Falk, JLG Velarde, JM Mulvey, JR Farias de, KS Goetzmann, L Jenkins, LE Ghaoui, M Bürger, M Fischetti, M Fischetti, M Fischetti, M Goerigk, M Goerigk, M Goerigk, M Goerigk, M Goerigk, M Goerigk, M Goerigk, M Goerigk, M Goerigk, M Inuiguchi, M López, M Monaci, M Monaci, MC Campi, MK Zanjani, N Eggenberg, O Berman, P Adasme, P Kouvelis, P Sanders, P Zieliński, PC Bouman, R Kalai, R Khandekar, R Montemanni, R Montemanni, R Montemanni, R Reemtsen, S Cicerone, S Siddiqui, S Suzuki, TS Ng, U Feige, V Cacchiani, V Jeyakumar, X Song, Y Nikulin, Y Yin   +114 more
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