Evaporative cooling feature selection for genotypic data involving interactions
نویسندگان
چکیده
منابع مشابه
Evaporative cooling feature selection for genotypic data involving interactions
MOTIVATION The development of genome-wide capabilities for genotyping has led to the practical problem of identifying the minimum subset of genetic variants relevant to the classification of a phenotype. This challenge is especially difficult in the presence of attribute interactions, noise and small sample size. METHODS Analogous to the physical mechanism of evaporation, we introduce an evap...
متن کاملEvaporative Cooling of Actuators for Humanoid Robots
Autonomous humanoid robots need high torque actuators to be able to walk and run. One problem in this context is the heat generated. In this paper we propose to use water evaporation to improve cooling of the motors. Simulations based on thermodynamic calculations as well as measurements on real actuators show that, under the assumption of the load of a soccer game, cooling can be considerably ...
متن کاملAn analytical model for evaporative cooling
We have developed an analytical model for evaporative cooling [1]. By simulating evaporation as a sequence of discrete steps, we could predict the time dependence of all important parameters such as temperature, density, elastic collision rate. By incorporating trap loss due to background gas collisions into our model we derived the threshold conditions for “run-away” evaporation. This is chara...
متن کاملEvaporative cooling of sodium atoms.
s (to be published) Abstract No. 1-M3. [9] W. Petrich, M. H. Anderson, J. R. Ensher, and E. A. Cornell, in Fourteenth International Conference on Atomic Physics, Boulder Colorado, 1994 (Ref. [8]). [10] M. Kasevich (private communication). [11] E. Tiesinga, A. J. Moerdijk, B. J. Verhaar, and H. T. C. Stoof, Phys. Rev. A 46, R1167 (1992). [12] H. F. Hess, Phys. Rev. B 34, 3476 (1986). [13] K. B. ...
متن کاملCombination of Feature Selection and Learning Methods for IoT Data Fusion
In this paper, we propose five data fusion schemes for the Internet of Things (IoT) scenario,which are Relief and Perceptron (Re-P), Relief and Genetic Algorithm Particle Swarm Optimization (Re-GAPSO), Genetic Algorithm and Artificial Neural Network (GA-ANN), Rough and Perceptron (Ro-P)and Rough and GAPSO (Ro-GAPSO). All the schemes consist of four stages, including preprocessingthe data set ba...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Bioinformatics
سال: 2007
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/btm317