Boosting has established itself as a successful technique for decreasing the generalization error of classification learners by basing predictions on ensembles of hypotheses. While previous research has shown that this technique can be made to work efficiently even in the context of multirelational learning by using simple learners and active feature selection, such approaches have relied on si...

Adaptive hypermedia (AH) educational systems aim at improving self-learning of individuals. Although the research in this area is very active, only little work is done in the area of educational knowledge representation and their use in various domains. In this paper we present the ALEA (Adaptive LEArning) system, which is a web-based environment targeted on support of learning programming lang...

abstract this author introduces the concept of stepwise strategy approach (ssa) for dealing with a number of problems arises in the current age of technology. this new idea is combined with the knowledge of grey theory for adding flexibility to decision making process. grey theory is useful for grasping the ambiguity exists in the utilized information and the fuzziness appears in the human judg...

In this paper, we address the problem of defending against entry-exit linking attacks in Tor, a popular anonymous communication system. We formalize the problem as a repeated non-cooperative game between the defender and the adversary (i.e., controller of the compromised Tor nodes to carry out entryexit linking attacks). Given the current path selection algorithm of Tor, we derive an optimal at...

In this paper, we consider improved estimation strategies for the parameter vector in multiple regression models with first-order random coefficient autoregressive errors (RCAR(1)). We propose a shrinkage estimation strategy and implement variable selection methods such as lasso and adaptive lasso strategies. The simulation results reveal that the shrinkage estimators perform better than both l...

The generalisation properties of a support vector classi cation network are typically governed by a regularisation parameter, C, and a small number of parameters specifying the kernel function. The process by which the optimal values of these parameters are obtained is known as model selection. This paper describes an automated model selection procedure based on minimisation of an upper bound o...

Climate change is one of the most serious challenges confronting agriculture, particularly, in rural Nigeria. This study examined the perception, adaptation strategies and challenges of climate change among rural households in Kogi State, Nigeria. A two stage sampling techniques was used in the study. The first stage involves the purposive selection of six (6) rural farming communities, followe...

This paper describes MIMIC, an adaptive mixed initiative spoken dialogue system that provides movie showtime information. MIMIC improves upon previous dialogue systems in two respects. First, it employs initiative-oriented strategy adaptation to automatically adapt response generation strategies based on the cumulative effect of information dynamically extracted from user utterances during the ...