cc.gatech.edu. Yangqiu Song is with Department of Computer Science, .... bs C. 1. 2 w w. (6). @2L1. @w@wT D. 1. 2 w. IDC. M. X. sD1. Ã 1. 22 o. Ã 2.zs/. Ë2.zs/.
indicates the influence degree from the cause concept Ci to the effect concept Cj, ... Game-based learning is different from computer games, as its objective is to ...
Parkinson's Disease Prediction Using Machine. Learning Approaches. Gokul.S. PG Student M.E (Applied Electronics). Department of EEE. Sivachitra.M.
Oct 19, 2005 - the students learn in a more effective way. The guiding thread for the course is based on the Project Oriented. Learning didactic strategy which.
approach within the context of teaching wind energy conversion systems for electricity generation at an Electrical and Electronic. Master's degree level. Students ...
e-mail: [email protected]. AbstractâThis paper deals with the collision avoidance of the cooperative robots using the learning through ...
Alka Tripathi. Department of Mathematics. Jaypee Institute of Information. Technology. Noida, India [email protected]. Abstract -- This study suggests a soft ...
Comparison of Machine Learning Techniques using the WEKA environment for Prostate Cancer. Therapy Plan. Nikolaos Mallios. Dept. of Informatics and ...
In addition, other parameters, the Mel-Frequency Cepstral. Coefficients ...... cepstral peak prominence application: feasibility for patient practice of resonant voice ...
neural networks and stochastic search methods, especially genetic algorithms (GAs), have been published. In particular, combinations of back propagation and ...
AbstractâThis paper describes a novel application of Statistical Learning Theory (SLT) to single motion estimation and tracking. The problem of motion ...
A New Iterative Learning Controller Using Variable. Structure Fourier Neural Network. Wei Zuo and Lilong Cai, Member, IEEE. AbstractâA new iterative learning ...
UNSUPERVISED LEARNING OF AUDITORY FILTER BANKS USING NON- ... Alexander Bertrand, Kris Demuynck, Veronique Stouten, Hugo Van hamme.
AbstractâThe clonal selection principle is used to explain the basic features of an adaptive immune response to an antigenic stimulus. It establishes the idea ...
Feb 4, 2011 - Abstractâ The development and acceptance pace of Mobile. Learning Technologies are increasing rapidly as there are abundant applications ...
AbstractâIn this paper, we apply imitation learning to develop drivers for The Open Racing Car Simulator (TORCS). Our approach can be classified as a direct ...
Oct 20, 2010 - Distributed Reinforcement Learning Frameworks for. Cooperative Retransmission in Wireless Networks. Ghasem Naddafzadeh-Shirazi ...
Jun 12, 2013 - The rest of the equations for MKCRVM are exactly the same as for the single ... simulated using the Mathematical Cardiac Torso (MCAT) [32] phantom which .... The authors thank the medical physics group at the Uni- versity of ...
Department of CSE. VNR VJIET. Hyderabad, India [email protected]. Abstractâ Most of the students are forced to take different courses based on their ...
555 Technology Square, Cambridge, MA, 02139. ABSTRACT. In this paper, we ... wireless networks has become one of the major bottlenecks to provide reliable ...
More recently, node2vec [15] introduced hyperparameters to. DeepWalk that tune the depth and breadth of the random walks. These approaches have been ...
AbstractâThis paper discusses an application of multipopu- lation continuous genetic algorithms to learning of vocal tract configurations on a midsagittal plane.
Humberto E. Garcia, Asok Ray and Robert M. Edwards. A deaerating feedwater heater, equipped with a water level controller and a pressure controller, has ...