Results 1 - 10 of 159

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
or who desire a career that requires a college degree intend to pursue their schooling. For a substantial portion of students, however, self-determined motivation toward school has become so low (i.e., they have developed low levels of intrinsic motivation and identified regulation but high levels

Causal Reasoning Engine: An Explanation-Based

by unknown authors
"... Quickly detecting an unexpected pathogen can save many lives. In cases of bioterrorism or naturally occurring epidemics, accurate diagnoses may not be made until much of the population has already been jeopardized. The goal of syndromic surveillance is to detect early anomalies that emerge from pati ..."
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that are predictive of the diseases. We describe the Causal Reasoning Engine (CRE), a multipurpose decision support system for diagnosing causes from observed symptoms and predictors. The CRE uses Bayesian inference and machine learning methods and deploys an intuitive explanation-based framework for causal modeling

Using Emoticons to reduce Dependency in Machine Learning Techniques for Sentiment Classification

by Jonathon Read
"... Sentiment Classification seeks to identify a piece of text according to its author’s general feeling toward their subject, be it positive or negative. Traditional machine learning techniques have been applied to this problem with reasonable success, but they have been shown to work well only when th ..."
Abstract - Cited by 69 (2 self) - Add to MetaCart
Sentiment Classification seeks to identify a piece of text according to its author’s general feeling toward their subject, be it positive or negative. Traditional machine learning techniques have been applied to this problem with reasonable success, but they have been shown to work well only when

Causal discovery via MML

by Chris Wallace, Kevin B. Korb, Honghua Dai - IN: PROCEEDINGS OF THE THIRTEENTH INTERNATIONAL CONFERENCE ON MACHINE LEARNING , 1996
"... Automating the learning of causal models from sample data is a key step toward incorporating machine learning into decisionmaking and reasoning under uncertainty. This paper presents a Bayesian approach to the discovery of causal models, using a Minimum Message Length (MML) method. We have developed ..."
Abstract - Cited by 21 (10 self) - Add to MetaCart
Automating the learning of causal models from sample data is a key step toward incorporating machine learning into decisionmaking and reasoning under uncertainty. This paper presents a Bayesian approach to the discovery of causal models, using a Minimum Message Length (MML) method. We have

Using Causal Induction in Humans to Learn and Infer Causality from Video Amy Fire

by Song-chun Zhu
"... For both human and machine learners, it is a challenge to make high-level sense of observations by identifying causes, effects, and their connections. Once these connections are learned, the knowledge can be used to infer causes and effects where visual data might be partially hidden or ambiguous. I ..."
Abstract - Cited by 3 (1 self) - Add to MetaCart
For both human and machine learners, it is a challenge to make high-level sense of observations by identifying causes, effects, and their connections. Once these connections are learned, the knowledge can be used to infer causes and effects where visual data might be partially hidden or ambiguous

Using Emoticons to reduce Dependency in Machine Learning Techniques for Sentiment Classification

by unknown authors
"... Sentiment Classification seeks to identify a piece of text according to its author’s general feeling toward their subject, be it positive or negative. Traditional machine learning techniques have been applied to this problem with reasonable success, but they have been shown to work well only when th ..."
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Sentiment Classification seeks to identify a piece of text according to its author’s general feeling toward their subject, be it positive or negative. Traditional machine learning techniques have been applied to this problem with reasonable success, but they have been shown to work well only when

A Developmental Approach to Learning Causal Models for Cyber Security

by Jonathan Mugan
"... To keep pace with our adversaries, we must expand the scope of machine learning and reasoning to address the breadth of possible attacks. One approach is to employ an algorithm to learn a set of causal models that describes the entire cyber network and each host end node. Such a learning algorithm w ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
To keep pace with our adversaries, we must expand the scope of machine learning and reasoning to address the breadth of possible attacks. One approach is to employ an algorithm to learn a set of causal models that describes the entire cyber network and each host end node. Such a learning algorithm

Bringing Context and Variability Back in to Causal Analysis Bringing Context and Variability Back in to Causal Analysis A New Methodology of Causal Graphs

by Dynarski Angrist , Kane
"... The methodology of causal analysis in the social sciences is often divided into two ideal type research scenarios: experimental social science and observational social science. For experimental social science, the researcher can manipulate the cause of interest. The most common research design is o ..."
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and an e¤ect modi…cation (see 13 The causal graph in When seen as a causal graph as developed in the more recent literature, the structural equations for Reading from left to right in the causal graph in Instead, if one must use a data analytic machine to conceptualize how to perform an appropriate

Party over Policy: The Dominating Impact of Group Influence

by Geoffrey L Cohen - on Political Beliefs.’’ Journal of Personality and Social Psychology , 2003
"... Four studies demonstrated both the power of group influence in persuasion and people's blindness to it. Even under conditions of effortful processing, attitudes toward a social policy depended almost exclusively upon the stated position of one's political party. This effect overwhelmed th ..."
Abstract - Cited by 86 (7 self) - Add to MetaCart
for their participation. The other 12 students were recruited by telephone from a separate departmental pool of participants and paid $5. Liberal and conservative students were identified using a mass testing survey administered earlier in the academic term. Students indicated their political affiliation (1 ϭ very much a

Towards Finding Relevant Information Graphics: Identifying the Independent and Dependent Axis from User-written Queries

by Zhuo Li, Matthew Stagitis, Kathleen Mccoy, Ra Carberry
"... Information graphics (non-pictorial graphics such as bar charts and line graphs) contain a great deal of knowledge. Information retrieval research has focused on retrieving textual documents and on extracting images based on words appearing in the accompanying article or based on low-level features ..."
Abstract - Cited by 2 (2 self) - Add to MetaCart
and dependent axes of potentially relevant graphs. Natural language processing techniques are used to extract features from the query and machine learning is employed to build a model for hypothesizing the content of the axes. Results have shown that our models can achieve accuracy higher than 80 % on a corpus
Results 1 - 10 of 159