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Instructions for Machine Learning College Essay Examples

Title: Bioinformatics Machine Learning Snp Mutation

Total Pages: 5 Words: 1659 Bibliography: 5 Citation Style: APA Document Type: Essay

Essay Instructions: Hi
I am working on SNPs mutation and predicting the pathogenicty of novel mutations using machine learning method
this website will help to understand the idea of my work, they are working on similar things
http://bg.upf.edu/condel/home

I need a help in writing lots of introductory parts in different chapters, for the start I want to try the machine learning chapter and take it from there for other chapter.


this is the structure, open for any suggestions/addtions

1. Machine learning

Introduction about machine learning method in bioinformatics

1.1 Different machine learning approaches

discuses different approches : There are two main types of machine learning: supervised and unsupervised learning.


1.1.1. Neural networks

Multilayer perceptron schema. (Rumel-
hart et al., 1986).


1.1.2. Random forest

When a classification model is required for a dataset containing many attributes,
often a dimensionality-reduction needs to be employed because many commonly used
models display suboptimal performance when highly interdependent or irrelevant
attributes are mixed with the informative ones.

** Plus its the one I used and it worked for me so make it look really good :P
(Witten and
Frank, 2005).
(Svetnik et al., 2003)
Breiman (2001)
being very resource-efficient for
large datasets with many attributes, random forest shows comparable performance to boosting (Meyer et al., 2003) and decision forests (Tong et al., 2003) and out- performs bagging.
algorithm (Breiman, 1996)

1.2 Data sampling
discuses the problem of data sampling and where the main central problem of machine learning is the quality of the data used for the
learning step ….
The gathered data (with known attribute values and class value)
cross-validation

Excerpt From Essay:

Title: Sentiment Analysis Techniques

Total Pages: 10 Words: 3092 Sources: 10 Citation Style: MLA Document Type: Research Paper

Essay Instructions: I want the literature to be about Machine Learning Techniques (Approach) like Support Vector Machine, Naive Bayes, Maximum Enropy Classifier and Markove Blanket Classifier. Please no repeat of what has been written in the last order.

Excerpt From Essay:

Title: Finding Shortest Path using Antnet Routing

Total Pages: 10 Words: 2742 References: 0 Citation Style: APA Document Type: Essay

Essay Instructions: I have a lot of references, study material on atnet routing.

In the note which I have sent earlier I have not given the details of thesis.I am giving now a little bit.I am giving here the title of the paper and the abstract with which you can proceed furter.You can change it,you can modify it or you can use the title as it is also.It's upto you.I can send you the details and the references of the websites also.So first tell me how to proceed further .To whom I have to send this information etc.


Pattern of Generation, Decay & Updating of Routing Tables by Using Historical Data in Software Agents.
Abstract: Antnet is a new agent based adaptive & distributed routing algorithm for packet routing in communication networks. Although, an ant is a simple creature, collectively a colony of ants (nothing but software agents) performs useful tasks such as collecting information and finding the shortest path to food source and sharing this information with other ants by depositing pheromone. In the first part of the paper, a new pattern for generation and decay of the software agents is proposed. In the second part of the paper, the historical data collected about each route's trip time and the way this data is used to update the routing tables is discussed.
Keywords: Routing, Antnet, Reinforcement learning, Ant algorithm, Adaptive routing

http://www.idsia.ch/~gianni/my_publications.html
http://www.aco-metaheuristic.org/

1."Ant Algorithms", Special Issue on Future Generation Computer
Systems (FGCS) , Vol. 16, N. 8, 2000
2."AntNet: Distributed Stigmergetic Control for Communications
Networks" (reprinted by permission from JAIR), Vivek, A Quarterly in
Artificial Intelligence, Vol. 12(3-4), Pag. 2-37, 1999.
3."Ant Algorithms for Distributed Discrete Optimization" , Artificial
Life, Vol. 5, N. 2, 1999.
4."AntNet: Distributed Stigmergetic Control for Communications
Networks", Journal of Artificial Intelligence Research (JAIR), Vol. 9,
Pag. 317-365, 1998.
5.., "Toward the formal foundation of Ant Programming", Ant Algorithms
- Proceedings of ANTS 2002, Third International Workshop on Ant
Algorithms, Brussels, Belgium, September 12-14, 2002, Lecture Notes in
Computer Science Vol. 2463, Springer-Verlag, 2002.
6.., "Ant-SELA: Ant-agents and stochastic automata learn adaptive
routing tables for QoS routing in ATM networks", ANTS'2000 - From Ant
Colonies to Artificial Ants: Second International Workshop on Ant
Algorithms, Brussels, Belgium, September 8-9, 2000
I am providing some more sites, kindly update the order

The main people involved in research of Antnet are

Marco Dorigo
Gianni Di caro(Toward the Formal Foundation of Ant Programming) This can be used as reference
Luca M.Gambardella
Benjamin Baran(Improved Antnet Routing)
F.Tekiner
Tony White(Routing With Swarm Intelligence) This can be used as a reference
(Connection Management by Ants: An Aplication of Mobile Agents in Network Management)
Appleby,S.. & Steward,S.(1994). (Mobile Software Agents for Control in Telecommunications Networks)This can also be used as a reference

Some people who are partially involved
Colorni,A.
Joshua R.Hertz(Routing with Swarm Intelligence :Improving the Antnet Algorithm)


For research papers of Marco Dorigo & Gianni Di Caro kindly refer to the site I had mentioned in my previous mail
Some research papers that can be used as reference

F. Tekiner
http://www.sve.man.ac.uk/General/Staff/tekiner
•Improved Antnet Routing Algorithm to overcome Stagnation Problem", Elsevier Sciences, Journal of Systems and Software, 2005, In review
•"Improved Antnet Routing Algorithm for Packet Switching", Mediterranean Journal of Computer Networks, Oct 05, Vol 1, No,2, pp. 69-76
•"Improved Antnet Routing Algorithm with Link Probability Evaporation Over the Given Time Window", in Proceedings of IEEE SOFTCOM04, Split/Venice, 11-13 Oct 2004, pp. 502-505.
•"Investigation of Antnet Routing Algorithm by Employing Multiple Ant Colonies for Packet Switched Networks to Overcome the Stagnation Problem", Proceedings of LCS04, London 13-15 Sep 2004, pp. 185-188.
•"Antnet Routing Algorithm-Improved Version", in: Proceedings of CSNDSP04, Newcastle, UK, 22-22 July 2004, pp. 416-419.
•"Comparison of the Q-Routing and Shortest Path Routing Algorithms" PGNET04, 28 - 29 June 2004, Liverpool, UK, pp. 428 - 432

Luca M.Gambardella

•Montemanni R., Gambardella L.M., Rizzoli A.E. and Donati A.V. Ant colony system for a dynamic vehicle routing problem . Journal of Combinatorial Optimization, 10, 327-343, December 2005.
•Di Caro G.A., Ducatelle F., Gambardella L.M., BISON: Biology-Inspired techniques for Self-Organization in dynamic Networks, Kuenstliche Intelligenz, Special Issue on Swarm Intelligence, Vol.4 November 2005
•Dorigo M., Gambardella L. M, Middendorf M. and Stützle T. Guest Editorial -- Special Section on Ant Colony Optimization, IEEE Transactions On Evolutionary Computation, vol. 6, no. 4, pp. 317-320, 2002.
•Dorigo M., Gambardella L.M, Ant Colony System: A Cooperative Learning Approach to the Traveling Salesman Problem, IEEE Transactions on Evolutionary Computation Vol. 1,No. 1,pp. 53-66, 1997
•Dorigo M., Gambardella L.M, Ant Colonies for Traveling Salesman Problem , BioSystems,No. 43,pp. 73-81, 1997
•Gambardella L.M, Dorigo M., Ant-Q: A Reinforcement Learning Approach to the Traveling Salesman Problem, Twelfth International Conference on Machine Learning, A. Prieditis and S. Russell (Eds.), Morgan Kaufmann, 1995, pp. 252-260.

In my future correspondence I will provide some more sites.
All these authors have a lot of research papers on this particular topic.Kindly refer to these sites.
My research focus is " Finding Shortest Path Using Antnet Routing"
What will be the parameters which these software agents will carry ?Their complexity should be minimum. All that I require is routing algorithm should be optimized.
Any clearance is needed? Kindly mail me back.I want to contact with the authors directly if it is possible.

Excerpt From Essay:

Title: Data Mining

Total Pages: 2 Words: 629 Works Cited: 0 Citation Style: MLA Document Type: Research Paper

Essay Instructions: Please read the project details below. I will first pay for 2 pages since i need the outline in 2 days. Once the writer send me the outline i can hire you for an additional 6-8 pages which will be due in the next 8 days. Please make sure that you write your name so i can select you as the writer.

I will also attach several sample projects in the resource section which you can use as a guideline for your work. This is not a general paper so someone with a little knowledge of Data Mining is required.



This is a 2 part project. In the first part which is a 2 page outline you have to basically give an outline on the following:
What to include:
• The overall theme or focus of your paper
o What real world area(s) do you plan to explore?
o Your ideas about the effectiveness of Data Mining/KDD in these areas
• Specific Data Mining / KDD topic areas you plan to explore within that theme
o These are your subset of the class topics mentioned in the Project 2 overview
o Ideas you have for showing visualizations and their effectiveness
• Specific sources you are planning to use for reference
o On-line or off-line resources, newspapers, books, or magazine articles, etc.
• Any preliminary ideas, observations, or conclusions you have drawn from research
o Data Mining/KDD successes or effective application areas
o Issues, obstacles to be overcome, problems, and other barriers to their use


Please read the project details below. I will first pay for 2 pages since i need the outline in 2 days. Once the writer send me the outline i can hire you for an additional 6-8 pages which will be due in the next 8 days. Please make sure that you write your name so i can select you as the writer.









Overview of Project 2
Write a 5-10 page paper about data mining and knowledge discovery in databases (KDD) ??" how data mining and KDD are used in the “real world”, what some of the real world issues are with data mining, recent results based on effective use of data mining, etc.

Your paper should cover or include information about at least 3 of the topics we have gone over in class: description / prediction / classification, association analysis, clustering, sequential patterns, etc. and their sub-topics like market basket analysis.

Be sure to include examples from data mining preprocessing, analyses, pattern analysis and evaluation, visualizations, etc. Good sources might be recent newspaper, journal, or scientific articles related to (the results of) data mining and KDD (use the Web!).

Pictures / visualizations of data mining and KDD results will be given higher weight (although at least 5 pages of your paper must be primarily text), and so will good references that indicate that you did a good job of investigating these topics.

Note: The paper should contain material different than, and go beyond, material and sources covered directly in class or in the text, and should not just copy others’ findings.
Some example paper topics (you are not limited to only these!):
• The applications of Web usage mining in various areas (e.g., for e-commerce, user profiling, Web personalization, etc.).
• Recommender Systems and User Profiling: a comparative study of various techniques in data mining and collaborative filtering to learn user profiles and predict future user behavior. The study could examine a variety of techniques and approaches used in the design of recommender systems (including collaborative filtering, content-based filtering, model-based approaches which use data mining, and hybrid systems).
• Web content mining/Text mining: a study of various techniques to mine information and patterns from semi-structured data such as text, or Web documents. The paper could examine topics such as the applications of text mining on the Web, information extraction and mining of data records from the Web, concept discovery from document collections, document categorization and classification, etc.
• Web structure mining: a study of various techniques to mine knowledge from the linkage structure of the Web. Among the topics that can be explored in this study are application of structure mining in information retrieval (such as Google's Pagerank algorithm), algorithms based on the notions of Hubs and Authorities, and the automatic discovery of Web communities.
• Data Mining on the Social Web: Social Web (Web 2.0) technologies allow users to connect, share resources, and actively generate content on Web sites. How can the rich data in such social networking sites such as Facebook and Twitter, or in resource sharing sites such as Flickr, Last.fm, and Delicious be mined to help users interact with these sites more effectively. Among the topics that can be explored are the use of Social Network Analysis algorithms to discover interesting relationships, using data mining and machine learning algorithms to predict user behavior or to recommend resources and users (friends), and application for tag suggestion/ recommendation in social tagging Web sites.
• Data Warehousing: a study of Web or other data warehouses and datamarts, and their use, along with various data mining techniques for decision support and gaining business intelligence from Web data. Note: The main focus of this study must not be Data warehousing, but rather their use in the context of various kinds of data, as well as their connections to data mining, data analysis, and KDD.
• Information Agents: a study of the use of client-side (or server-side) agents on the Web that assist users in filtering information and in browsing or searching tasks.



Note: Additional information will be provided about criteria used to evaluate your research and the paper itself.

Excerpt From Essay:

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