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

Business processes involve interactions among autonomous partners. We propose that these interactions be specified modularly as protocols. Protocols can be published, enabling implementors to independently develop components that respect published protocols and yet serve diverse interests. A variety of business protocols would be needed to capture subtle business needs. We propose that the same kinds of conceptual abstractions be developed for protocols as for information models. Specifically, we consider (1) refinement: a subprotocol may satisfy the requirements of a superprotocol, but support additional properties; and (2) aggregation: a protocol may combine existing protocols. In support of the above, this paper develops a semantics of protocols and an operational characterization of them. This supports judgments about the potential subclass-superclass relations between protocols, which are a result of protocol refinement. It also enables protocol aggregation by splicing a protocol into another protocol.

Semantic approach for designing e-business protocols

Norms help regulate a society. Norms may be explicit (represented in structured form) or implicit. 

We address the emergence of explicit norms by developing agents who provide and reason about explanations for norm violations in deciding sanctions and identifying alternative norms. These agents use a genetic algorithm to produce norms and reinforcement learning to learn the values of these norms.

We find that applying explanations leads to norms that provide better cohesion and goal satisfaction for the agents. Our results are stable for societies with differing attitudes of generosity.

/pdf/socially-intelligent-genetic-agents-for-the-emergence-of-3cdztfnk.pdf

Socially Intelligent Genetic Agents for the Emergence of Explicit Norms

We demonstrate that framing, a subjective aspect of news, is a causal precursor to both significant public perception changes, and to federal legislation. We posit, counter-intuitively, that topic news volume and mean article similarity increase and decrease together. We show that specific features of news, such as publishing volume , are predictive of both sustained public attention, measured by annual Google trend data, and federal legislation. We observe that public attention changes are driven primarily by periods of high news volume and mean similarity, which we call \emph{prenatal periods}. Finally, we demonstrate that framing during prenatal periods may be characterized by high-utility news \emph{keywords}.

The Causal Link between News Framing and Legislation.

/pdf/tango-declarative-semantics-for-multiagent-communication-1ff2ods3cu.pdf

Tango: Declarative Semantics for Multiagent Communication Protocols

is a complete catalog of O'Reilly's books on Perl and related technologies, including sample chapters and code examples. Perl.com is the central web site for the Perl community and providing a starting place for finding out everything about Perl. Conferences O'Reilly & Associates bring diverse innovators together to nurture the ideas that spark revolutionary industries. We specialize in documenting the latest tools and systems, translating the in-novator's knowledge into useful skills for those in the trenches. Visit conferences.oreilly.com for our upcoming events. Safari Bookshelf (safari.oreilly.com) is the premier online reference library for programmers and IT professionals. Conduct searches across more than 1,000 books. Subscribers can zero in on answers to time-critical questions in a matter of seconds. Read the books on your Bookshelf from cover to cover or simply flip to the page you need. Try it today with a free trial.

Munindar P. Singh

Papers

Semantic approach for designing e-business protocols

Socially Intelligent Genetic Agents for the Emergence of Explicit Norms

The Causal Link between News Framing and Legislation.

Tango: Declarative Semantics for Multiagent Communication Protocols

Programming Web Services