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Stability of spectral learning algorithms: theory, methodologies and applications

In Data Mining an important research problem is the identification and analysis of theoretical properties that characterize and explain the behavior of learning algorithms. Based on such theoretical tools the comparison and analysis of algorithms can be based on rigorous and sound criteria other than simply their empirical behavior. In this context, an
openaire   +1 more source

Poly(ADP-Ribose) polymerase (PARP) inhibitors: Exploiting a synthetic lethal strategy in the clinic

Ca-A Cancer Journal for Clinicians, 2011
Timothy A Yap, Johann Sebastian de Bono
exaly  

Computational predictions of energy materials using density functional theory

Nature Reviews Materials, 2016
Anubhav Jain   +2 more
exaly  

Theory-guided design of catalytic materials using scaling relationships and reactivity descriptors

Nature Reviews Materials, 2019
Zhi-Jian Zhao, Sihang Liu, Shenjun Zha
exaly  

Social evolution theory for microorganisms

Nature Reviews Microbiology, 2006
Stuart West   +2 more
exaly  

Rechargeable Alkali-Ion Battery Materials: Theory and Computation

Chemical Reviews, 2020
Anton Van der Ven   +2 more
exaly  

Theory and Calculation of the Phosphorescence Phenomenon

Chemical Reviews, 2017
Gleb Baryshnikov   +2 more
exaly  

Nuclear Quantum Effects in Water and Aqueous Systems: Experiment, Theory, and Current Challenges

Chemical Reviews, 2016
Michele Ceriotti   +2 more
exaly  

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