Nik Dennler's Journal Club session where he will talk about a paper "Evolving the Olfactory System with Machine Learning"
Tag: machine learning
Towards Explainable Artificial Intelligence
Muhammad Yaqoob's journal club session where he will talk about the paper "Towards Explainable Artificial Intelligence".
OPTICS: Ordering Points To Identify the Clustering Structure
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)".
Tagged as : machine learningThe Potential for Student Performance Prediction in Small Cohorts with Minimal Available Attributes using Learning Analytics Techniques
Edward Wakelam's journal club session, where he will present his work.
Tagged as : machine learningThe power of deep networks and learning
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)".
Finding K-Means Clustering
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 LearningMaximum Satisfiability: Anatomy of the Fitness Landscape for a Hard Combinatorial Optimization Problem
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 LearningReverse Nearest Neighbor Queries: emergence and implementation issues
Deepak Panday's journal club session on "Reverse Nearest Neighbor Queries: emergence and implementation issues".
Tagged as : machine learningArchaeaBot: A Post Singularity, Post Climate Change Lifeform
Anna Dumitriu and Alex May's journal club session on "ArchaeaBot: A Post Singularity, Post Climate Change Lifeform".
Open Position: PhD Studentship in Computational Frameworks for high-dimensional neural data
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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