Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

Pattern Recognition and Machine Learning

Deposits of clastic carbonate-dominated (calciclastic) sedimentary slope systems in the rock record have been identified mostly as linearly-consistent carbonate apron deposits, even though most ancient clastic carbonate slope deposits fit the submarine fan systems better. Calciclastic submarine fans are consequently rarely described and are poorly understood. Subsequently, very little is known especially in mud-dominated calciclastic submarine fan systems. Presented in this study are a sedimentological core and petrographic characterisation of samples from eleven boreholes from the Lower Carboniferous of Bowland Basin (Northwest England) that reveals a >250 m thick calciturbidite complex deposited in a calciclastic submarine fan setting. Seven facies are recognised from core and thin section characterisation and are grouped into three carbonate turbidite sequences. They include: 1) Calciturbidites, comprising mostly of highto low-density, wavy-laminated bioclast-rich facies; 2) low-density densite mudstones which are characterised by planar laminated and unlaminated muddominated facies; and 3) Calcidebrites which are muddy or hyper-concentrated debrisflow deposits occurring as poorly-sorted, chaotic, mud-supported floatstones. These

Phd by thesis

Data Mining - Concepts and Techniques.

Data Mining Practical Machine Learning Tools and Techniques

How to Do Things With Words

Medical data research and analysis is a heuristic-based system that analyzes disease in metropolitan cities of India like Delhi using input from the cyber social system. This provides information regarding the level of infections in different localities and correlations among events which cause that disease. The inputs from physical cyber social systems are analyzed according to different locations of the city listed in another record. From the data collected, crucial information pertaining to studying infected patterns was extracted. Obtained with the results, we analyze the data from social media and generate a heuristic-based opinion.

Medical Alert System Using Social Data

Fleur: Social Values Orientation for Robust Norm Emergence

Beiing Interactive: Peering at Peer-to-Peer Computing.

The objective of service-oriented computing (SOC) is to construct software applications out of appropriate services available and executing in place anywhere across the Web. To achieve this objective requires that techniques for discovering and engaging services be developed and used across the lifetime of the service-based applications. Doing this well requires that additional techniques be developed for ensuring desired quality of service metrics and servicelevel agreements. The crucial aspect of using services is thus their governance.

http://www.csc.ncsu.edu/faculty/mpsingh/papers/mas/aamas-socase-10-governance.pdf

Governance of services: a natural function for agents

Referral networks are a kind of P2P system consisting of autonomous agents who seek, provide services, or refer other service providers. Key applications include service discovery and selection, and knowledge sharing. This use of referrals is inspired by human interactions, where referrals are a key basis for judging the trustworthiness of a given service.The use of referrals enable an agent to control how its request is processed, it also provides an architectural basis for four kinds of interaction policies. InterPol is a language and framework supporting such policies. InterPol has been implemented using a Datalog-based policy engine for each agent. It has been applied on scenarios from a (multinational) health care project. The contribution of this paper is in a general referrals-based framework for privacy and trust management, which is shown to effectively capture a variety of privacy and trust requirements of autonomous users.

Munindar P. Singh

Papers

Medical Alert System Using Social Data

Fleur: Social Values Orientation for Robust Norm Emergence

Beiing Interactive: Peering at Peer-to-Peer Computing.

Governance of services: a natural function for agents

InterPol: a policy framework for managing trust and privacy in referral networks