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

Commitments help model interactions in multiagent systems in a computationally realizable yet high-level manner without compromising the autonomy and heterogeneity of the member agents. Recent work shows how to combine commitments with goals and apply planning methods to enable agents to determine their actions. However, previous approaches to modeling commitments are confined to propositional representations, which limits their applicability in practical cases. We propose a first-order representation and reasoning technique that accommodates templatic commitments and goals that may be applied repeatedly with differing bindings for domain objects. Doing so not only leads to a more perspicuous modeling, but also supports many practical patterns.

/pdf/a-first-order-formalization-of-commitments-and-goals-for-4x1l7mro6k.pdf

A first-order formalization of commitments and goals for planning

This study proposes a new hybrid biogeography-based optimization (BBO) technique to achieve a better balance between exploitation and exploration sides of BBO. The proposed hybrid metaheuri...

An empirical-based rainfall-runoff modelling using optimization technique

Teams arise in a number of important multiagent appli- cations. Several theories of intentions for teams have been proposed. By and large, these theories tend to model team intentions exclu- sively on the basis of mental concepts, and fail to acknowledge the internal structure of teams. We present a formal theory of intentions for teams that consid- ers the structure of teams explicitly. In this context, we distinguish between exodeictic and endodeictic intentions, which are conceptu- alized as pointing outward or inward from a team. These concepts are formalized in a framework that models the structure of teams in terms of their members' commitments and coordination require- ments. In this way, our approach combines mental and social con- cepts in a principled manner. We describe some postulates concern- ing intentions and structure, and give technical results establishing or falsifying these postulates with different definitions.

http://www.csc.ncsu.edu/faculty/mpsingh/papers/mas/ecai-98.pdf

The intentions of teams: team structure, endodeixis, and exodeixis

The normative concepts offer a principled basis for engineering flexible multiagent systems for business and other cross-organizational settings. However, producing suitable specifications is nontrivial: the difficulty is an obstacle to the adoption of multiagent systems in industry. This paper considers normative relationships of six main types, namely, commitments (both practical and dialectical), authorizations, powers, prohibitions, and sanctions. It applies natural language processing and machine learning to extract these relationships from business contracts, establishing that they are realistic and their encoding can assist modelers, thereby lowering a barrier to adoption. A ten-fold cross-validation over more than 800 sentences randomly drawn from a corpus of real-life contracts (and manually labeled) yields promising results for the viability of this approach.

https://csc.ncsu.edu/faculty/mpsingh/papers/others/AAMAS-14-Normative.pdf

Extracting normative relationships from business contracts

This paper presents a comprehensive survey on delay-tolerant networks, an architecture originally designed for the Interplanetary Internet, this delay-tolerant networks is a communication system used to provide Internet-like services in interplanetary distances to support of deep space exploration. This paper describes the basic of Delay-Tolerant Networks (DTN) and its different areas. It also explores the routing techniques used in Delay-Tolerant Networks (DTN). It also comprises the comparison of different routing protocols in Delay-Tolerant Networks (DTN). At last, based on shortcoming of existing protocol, this paper presents the problem definition for new work.

Munindar P. Singh

Papers

A first-order formalization of commitments and goals for planning

An empirical-based rainfall-runoff modelling using optimization technique

The intentions of teams: team structure, endodeixis, and exodeixis

Extracting normative relationships from business contracts

A survey paper on routing in delay-tolerant networks