Results 1 - 10 of 408

A Framework for Constructing Features and Models for Intrusion Detection Systems

by Wenke Lee, Salvatore J. Stolfo - ACM Transactions on Information and System Security , 2000
"... Intrusion detection (ID) is an important component of infrastructure protection mechanisms. Intrusion detection systems (IDSs) need to be accurate, adaptive, and extensible. Given these requirements and the complexities of today’s network environments, we need a more systematic and automated IDS dev ..."
Abstract - Cited by 223 (7 self) - Add to MetaCart
development process rather than the pure knowledge encoding and engineering approaches. This article describes a novel framework, MADAM ID, for Mining Audit Data for Automated Models for Intrusion Detection. This framework uses data mining algorithms to compute activity patterns from system audit data

Automatically parcellating the human cerebral cortex.

by Bruce Fischl , André Van Der Kouwe , Christophe Destrieux , Eric Halgren , Florent Ségonne , David H Salat , Evelina Busa , Larry J Seidman , Jill Goldstein , David Kennedy , Verne Caviness , Nikos Makris , Bruce Rosen , Anders M Dale , Bruce Fischl - Cereb. Cortex , 2004
"... Abstract -We present a technique for automatically assigning a neuroanatomical label to each location on a cortical surface model based on probabilistic information estimated from Introduction Techniques for labeling geometric features of the cerebral cortex are useful for analyzing a variety of fu ..."
Abstract - Cited by 189 (14 self) - Add to MetaCart
Abstract -We present a technique for automatically assigning a neuroanatomical label to each location on a cortical surface model based on probabilistic information estimated from Introduction Techniques for labeling geometric features of the cerebral cortex are useful for analyzing a variety

Self-determination and persistence in a real-life setting: Toward a motivational model of high school dropout.

by Robert J Vallerand , Michelle S Fbrtier , Frederic Guay - Journal of Personality and Social Psychology, , 1997
"... The purpose of this study was to propose and test a motivational model of high school dropout. The model posits that teachers, parents, and the school administration's behaviors toward students influence students' perceptions of competence and autonomy. The less autonomy supportive the so ..."
Abstract - Cited by 183 (19 self) - Add to MetaCart
level of correspondence, future researchers should be able to show an intimate relation between these two constructs. Finally, the integration of behavioral intentions in our motivational model allows us to make use of knowledge acquired from the attitude-behavior literature in order to better predict

Diminished neural responses predict enhanced intrinsic motivation and sensitivity to external incentive

by Karen E Marsden , Wei Ji Ma , Edward L Deci , Richard M Ryan , Pearl H Chiu
"... Abstract The duration and quality of human performance depend on both intrinsic motivation and external incentives. However, little is known about the neuroscientific basis of this interplay between internal and external motivators. Here, we used functional magnetic resonance imaging to examine the ..."
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Abstract The duration and quality of human performance depend on both intrinsic motivation and external incentives. However, little is known about the neuroscientific basis of this interplay between internal and external motivators. Here, we used functional magnetic resonance imaging to examine

Whom You Know Matters: Venture Capital Networks and Investment Performance,

by Yael Hochberg , Alexander Ljungqvist , Yang Lu , Steve Drucker , Jan Eberly , Eric Green , Yaniv Grinstein , Josh Lerner , Laura Lindsey , Max Maksimovic , Roni Michaely , Maureen O'hara , Ludo Phalippou Mitch Petersen , Jesper Sorensen , Per Strömberg Morten Sorensen , Yael Hochberg , Johnson - Journal of Finance , 2007
"... Abstract Many financial markets are characterized by strong relationships and networks, rather than arm's-length, spot-market transactions. We examine the performance consequences of this organizational choice in the context of relationships established when VCs syndicate portfolio company inv ..."
Abstract - Cited by 138 (8 self) - Add to MetaCart
. Benchmark Determinants of Fund Performance We begin by replicating Kaplan and Schoar's (2005) fund performance model, to validate our use of exit rates instead of fund returns as the measure of performance. Kaplan and Schoar relate VC fund performance to two fund characteristics (as well as a set

Discriminative Object Categorization with External Semantic Knowledge

by Sung Ju Hwang
"... Visual object category recognition is one of the most challenging problems in computer vision. While effortless for humans, it is inherently difficult for machines because of the visual variations such as lighting, pose, clutter and occlusion. Even assuming that we can obtain perfect instance-level ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
and limiting the model’s prediction power when new test instances are given.. Using semantic knowledge has great potential benefit to object category recognition. First, semantic knowledge could guide the training model to learn a correct association between visual features and the categories. Second

Materials for an exploratory theory of the network society.

by Manuel Castells , Anthony Giddens , Alain Touraine , Anthony Smith , Benjamin Barber , Peter Hall , Roger-Pol Droit , Sophie Watson , Frank Webster , Krishan Kumar , David Lyon , Craig Calhoun , Jeffrey Henderson , Ramon Ramos , Jose E Rodrigues-Ibanez , Jose F Tezanos , Mary Kaldor , Stephen Jones , Christopher Freeman - The British Journal of Sociology , 2000
"... ABSTRACT This article aims at proposing some elements for a grounded theor y of the network society. The network society is the social structure characteristic of the Information Age, as tentatively identi ed by empirical, cross-cultural investigation. It permeates most societies in the world, in v ..."
Abstract - Cited by 122 (0 self) - Add to MetaCart
is also characteristic of this technological paradigm is the use of knowledgebased, information technologies to enhance and accelerate the production of knowledge and information, in a self-expanding, virtuous circle. Because information processing is at the source of life, and of social action, every

Disease Prediction Based on Prior Knowledge

by Gregor Stiglic, Igor Pernek, Peter Kokol, Zoran Obradovic
"... Increasing demand for digitalization of Electronic Health Records results in increased demand for effective data mining solutions. In this study we enhance the classical Support Vector Machine-Recursive Feature Elimination (SVM-RFE) approach to optimally estimate disease risk from hospital discharge ..."
Abstract - Cited by 3 (2 self) - Add to MetaCart
,170 dimensional hospital discharge data consisting of nearly 7 million records collected in year 2008, we adopt a knowledge representation from complex systems and a feature selection technique used in bioinformatics. Our out of sample results on year 2009 dataset of similar size provide evidence

IPAL at ImageClef 2007 Mixing Features, Models and Knowledge.

by Sheng Gao, Jean-pierre Chevallet, Thi Hoang, Diem Le, Trong Ton Pham, Joo Hwee Lim, Ipal French-singaporean, Joint Lab
"... This paper presents IPAL ad-hoc photographic retrieval and medical image retrieval results in the ImageClef 2007 campaign. For the photo task, IPAL group is ranked at the 3rd place among 20 participants. The MAP of our best run is 0.2833, which is ranked at the 6th place among the 476 runs. The IPAL ..."
Abstract - Cited by 2 (1 self) - Add to MetaCart
developed such as the language model (LM) approach, the latent semantic indexing (LSI) approach. We also have used external knowledge like Wordnet, and Wikipedia for document expansion. Then the cross-modality pseudo-relevance feedback is applied to boost each individual modality. Linear fusion is used

Integrating Perceptual Learning with External World Knowledge in a Simulated Student

by Nan Li, Ong Tian, William W. Cohen, Kenneth R. Koedinger
"... Abstract. Systems for smart authoring of automated tutors, like Sim-Student, have been mostly applied in well-defined problem-solving domains where little real-world background knowledge is needed, like math. Here we explore the generality of these methods by considering a very different task, artic ..."
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, and prioritize learned production rules by accuracy. Experimental results show that the extended Sim-Student successfully learns the tutored article selection grammar rules, and can be used to discover a student model that predicts human student behavior as well as the human-generated model.
Results 1 - 10 of 408