Nik Dennler's Journal Club session where he will talk about a paper "Evolving the Olfactory System with Machine Learning"
Tag: machine learning
Muhammad Yaqoob's journal club session where he will talk about the paper "Towards Explainable Artificial Intelligence".
Na Helian's journal club session, where she will present the paper "OPTICS Ordering Points To Identify the Clustering Structure (Mihael Ankerst et al, 1999)".
Edward Wakelam's journal club session, where he will present his work.
Shabnam Kadir's journal club session, where she will present the papers "The power of deeper networks for expressing natural functions (David Rolnick and Max Tegmark, 2018)" and "Why does deep and cheap learning work so well? (Henry W. Lin, Max Tegmark and David Rolnick, 2017)".
Deepak Panday's journal club session, where he will present the papers "Recovering the number of clusters in data sets with noise features using feature rescaling factors (Renato Cordeiro de Amorima and Christian Hennig, 2015)" and "Intelligent Choice of the Number of Clusters in K-Means Clustering An Experimental Study with Different Cluster Spreads (Mark Ming-Tso Chiang and Boris Mirkin, 2010)".Tagged as : Machine Learning
Mohammad Tayarani-Najaran's journal club session on his article "Maximum Satisfiability Anatomy of the Fitness Landscape for a Hard Combinatorial Optimization Problem (Adam Prugel-Bennett; Mohammad Tayarani-Najaran, 2011)".Tagged as : Machine Learning
Deepak Panday's journal club session on "Reverse Nearest Neighbor Queries: emergence and implementation issues".
Anna Dumitriu and Alex May's journal club session on "ArchaeaBot: A Post Singularity, Post Climate Change Lifeform".
Applications are invited for a PhD studentship on Computational frameworks for high-dimensional neural data with Dr. Shabnam Kadir in the Biocomputation Research Group. The shortlisting process will begin on 8 January 2018. More details within.
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