TDA paper alert

Unread

• (Cell Reports, 29-08-2017)
  • Mass Cytometry and Topological Data Analysis Reveal Immune Parameters Associated with Complications after Allogeneic Stem Cell Transplantation
    
• (Fuzzy System, 27-06-2017, Bad format but may be potential idea -> low resolution and topology)
  • Stochastic model on low resolution characters and the feature of topological invariant
    
• (SPIE, 24-08-2017, Bad format but may be potential idea -> clustering on space of diagram)
  • Κ-means clustering on the space of persistence diagrams

• Geometric Learning and Topological Inference with Biobotic Networks: Convergence Analysis

Read & Categorized

Kernel method

Dynamic system

Clustering

Benchmark

Other

• (Physical Review Letters, 01-09-2017, Not understand but maybe relate to research idea)
  • Topological Causality in Dynamical Systems

 

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Seizure Prediction Challenge Intro.

About challenge

Current challenge:

• Melbourne University AES/MathWorks/NIH Seizure Prediction   (Sep. 2016)

Previous challenges:

• American Epilepsy Society Seizure Prediction Challenge  (Aug. 2014)
• UPenn and Mayo Clinic’s Seizure Detection Challenge (May 2014)

Useful links

Import Yelp dataset to MongoDB

Ref link

• https://codisthan.wordpress.com/2014/09/23/exploring-yelp-data-with-mongodb/
• http://blog.jimjh.com/predicting-user-ratings-on-yelp.html
• http://www.vladsandulescu.com/topic-prediction-lda-user-reviews/
• https://gist.github.com/zhouzhuojie/17a41d67510b32ba27df

My recent work in Recommendation System

Need time to write up.
http://docs.prediction.io/community/showcase/

Description:

Yelp is an online urban guide that helps people find recommended destinations based on the informed opinions and reviews of a community.

Goal: the high level goal of this project is to apply existing built-in PredictionIO engines to a new domain and new dataset.

For this project you will build a restaurant recommendation engine (see Yelp) using built-in Item Recommendation engine and the Yelp dataset.

Dataset:

Yelp dataset via Kaggle – https://www.kaggle.com/c/yelp-recsys-2013/data

Demo link:

http://yelpio.hongo.wide.ad.jp/

http://zorovn.hongo.wide.ad.jp/

Link

Prediction io–final 2014-jp-handout from Ha Phuong

論文の書き方

東大の千葉滋先生が書いたマニュアル。研究室の先輩が送ってくれた。短くて分かりやすい。

覚えておこう。

http://www.csg.ci.i.u-tokyo.ac.jp/~chiba/writing/sld001.htm