Machine Learning Basics

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1. Stock Market Prediction Using Hidden Markov Models

   Aditya Gupta, Non-student Member, Bhuwan Dhingra

   Added 2013-04-18 7 readers
2. By train or by car? Detecting the user's motion type through smartphone sensors data

   Luca Bedogni, Marco Di Felice, Luciano Bononi in 2012 IFIP Wireless Days (2012)

   Nowadays, the increasing popularity of smartphone devices equipped with multiple sensors (e.g. accelerometer, gy- roscope, etc) have opened several possibilities to the deployment of novel and exciting context-aware mobile applications. In this…

   Added 2013-02-14
3. Exploring Everyday Things with R and Ruby

   Sau Sheong Chang

   Added 2013-01-17 12 readers
4. How to give a good talk.

   Uri Alon in Molecular cell (2009)

   We depend on talks to communicate our work, and we spend much of our time as audience members in talks. However, few scientists are taught the well-established principles of giving good talks. Here, I describe how to prepare, present, and answer…

   Added 2012-08-24 396 readers
5. Skill development in graduate education.

   Roy Parker in Molecular cell (2012)

   The process of training new PhDs is complex and has significant dropout rates associated with loss of financial and time investments by the student, mentor, and program. One approach to improve graduate education is to make explicit the skills…

   Added 2012-08-24 47 readers
6. Machine learning approaches for the discovery of gene-gene interactions in disease data.

   Rosanna Upstill-Goddard, Diana Eccles, Joerg Fliege, Andrew Collins in Briefings in bioinformatics (2012)

   Because of the complexity of gene-phenotype relationships machine learning approaches have considerable appeal as a strategy for modelling interactions. A number of such methods have been developed and applied in recent years with some modest…

   Added 2012-08-19 38 readers
7. Data mining in the Life Sciences with Random Forest: a walk in the park or lost in the jungle?

   Wouter G Touw, Jumamurat R Bayjanov, Lex Overmars, Lennart Backus, Jos Boekhorst, Michiel Wels, in Briefings in bioinformatics (2012)

   In the Life Sciences 'omics' data is increasingly generated by different high-throughput technologies. Often only the integration of these data allows uncovering biological insights that can be experimentally validated or mechanistically modelled,…

   Added 2012-08-19 46 readers
8. Introduction to Probabilistic Automata

   A Paz in Bulletin of the EATCS (1971)

   This paper provides an elementary introduction to the probabilistic automaton (PA) model, which has been developed by Segala. We describe how distributed systems with discrete probabilities can be modeled and analyzed by means of PAs. We explain how…

   Added 2012-07-26 23 readers
9. Improving the performance of CMFD applications using multiple classifiers and a fusion framework

   C R Parikh, M J Pont, N B Jones, F S Schlindwein in Transactions of the Institute of Measurement and Control (2003)

   Added 2012-06-20
10. Characterisation and genomic organisation of Ty1-copia group retrotransposons in rye (Secale cereale)

    S R Pearce, G Harrison, J S Heslop-Harrison, A J Flavell, A Kumar in Genome (1997)

    Added 2012-06-20 1 reader
11. Identification and characterization of novel human endogenous retrovirus families by phylogenetic screening of the human genome mapping project database

    M Tristem in J Virol (2000)

    Added 2012-06-20 23 readers
12. Large-scale TCP models using optimistic parallel simulation

    G C Yaun, C D S Kalyanaraman in Workshop on Parallel and Distributed Simulation. (2003)

    Added 2012-06-20
13. WormBase: better software, richer content

    Erich M Schwarz, Igor Antoshechkin, Carol Bastiani, Tamberlyn Bieri, Darin Blasiar, Payan Canaran, et al. in Nucleic Acids Research (2006)

    WormBase (http://wormbase.org), the public database for genomics and biology of Caenorhabditis elegans, has been restructured for stronger performance and expanded for richer biological content. Performance was improved by accelerating the loading…

    Added 2012-06-20 11 readers
14. Principles of Data Mining

    D J Hand, H Mannila, P Smyth (2001)

    Added 2012-06-20 21 readers
15. How significant is 98.5% 'junk' in mammalian genomes

    J Brosius in Bioinformatics (2003)

    Added 2012-06-20 12 readers
16. S1 SINE retroposons are methylated at symmetrical and non-symmetrical positions in Brassica napus: identification of preferred target site for asymmetrical methylation

    C Goubely, P Arnaud, C Tatout, J S Heslop-Harrison, J M Deragon in J. Mol. Biol. (1999)

    Added 2012-06-20 5 readers
17. Types of viable variations induced by X-rays in Drosophila

    H J Müller in Genetics (1930)

    Added 2012-06-20 5 readers
18. WindowMasker: window-based masker for sequenced genomes

    Aleksandr Morgulis, E Michael Gertz, Alejandro A Schaffer, Richa Agarwala in Bioinformatics (2006)

    Motivation: Matches to repetitive sequences are usually undesirable in the output of DNA database searches. Repetitive sequences need not be matched to a query, if they can be masked in the database. RepeatMasker/Maskeraid (RM), currently the most…

    Added 2012-06-20 50 readers
19. Parallel BLAST on split databases

    David R Mathog in Bioinformatics (2003)

    Summary: BLAST programs often run on large SMP machines where multiple threads can work simultaneously and there is enough memory to cache the databases between program runs. A group of programs is described which allows comparable performance to be…

    Added 2012-06-20 18 readers
20. Retroelements in higher-plants

    M A Grandbastien in Trends Genet. (1992)

    Added 2012-06-20 14 readers

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