Index Catalog // ScholarsArchive@OSU

Toward harnessing user feedback for machine learning

Creator:: Stumpf, Simone, Rajaram, Vidya, Li, Lida, Burnett, Margaret, 1949-, Dietterich, Thomas Glen, Sullivan, Erin, Drummond, Russell, and Herlocker, Jonathan Lee
Abstract:: There has been little research into how end users might be able to communicate advice to machine learning systems. If this resource--the users themselves--could somehow work hand-in-hand with machine learning systems, the accuracy of learning systems could be improved and the users' understanding and trust of the system could improve...
Resource Type:: Technical Report
Full Text:: Microsoft Word - Techrep-061002.doc Technical Report CS#06

Exploiting monotonicity via logistic regression in Bayesian network learning

Creator:: Restificar, Angelo C., Dietterich, Thomas Glen, and Oregon State University. Department of Computer Science
Abstract:: An important challenge in machine learning is to find ways of learning quickly from very small amounts of training data. The only way to learn from small data samples is to constrain the learning process by exploiting background knowledge. In this report, we present a theoretical analysis on the use...
Resource Type:: Technical Report
Full Text:: greater underF1 than underF2. Note that in Figure 1,F1(y) < F2(y) and so 1−F1(y) ≥ 1−F2(y), thusF1

Exact learning of unordered tree patterns from queries

Creator:: Oregon State University. Dept. of Computer Science, Amoth, Thomas R., Cull, Paul, 1943-, and Tadepalli, Prasad
Abstract:: We consider learning tree patterns from queries extending our preceding work [Amoth, Cull, & Tadepalli, 1998]. The instances in this paper are unordered trees with nodes labeled by constant identifiers. The concepts are tree patterns and unions of tree patterns (unordered forests) with leaves labeled with constants or variables. A...
Resource Type:: Research Paper
Full Text:: permutation� of 1 : : : k such that the child sub- treeri matchess�(i), 1 � i � k. A constant node with no

Learning diagnostic policies from examples by systematic search

Creator:: Oregon State University. Dept. of Computer Science and Zubek, Valentina Bayer
Abstract:: A diagnostic policy species what test to perform next based on the results of previous tests and when to stop and make a diagnosis. Cost-sensitive diagnostic policies perform tradeoffs between (a) the costs of tests and (b) the costs of misdiagnoses. An optimal diagnostic policy minimizes the expected total cost....
Resource Type:: Research Paper
Full Text:: our state representation has the Markov property� In the start state s� � fg no attributes were

Learning and reasoning

Creator:: Oregon State University. Dept. of Computer Science and Dietterich, Thomas Glen
Abstract:: What is the relationship between learning and reasoning? Much recent work in machine learning has been criticized for focusing on learning and ignoring reasoning. This paper attempts to describe the various ways in which machine learning research has (and has not) incorporated reasoning. The paper argues that there are important...
Resource Type:: Research Paper
Full Text:: (people have no more than 2 legs) or probability distributions (the height of Caucasian men in North

Interacting meaningfully with machine learning systems : three experiments

Creator:: Oregon State University. Dept. of Computer Science, Stumpf, Simone, Rajaram, Vidya, Li, Lida, Wong, Weng-Keen, Burnett, Margaret, 1949-, Dietterich, Thomas Glen, Sullivan, Erin, and Herlocker, Jonathan Lee
Abstract:: Although machine learning is becoming commonly used in today's software, there has been little research into how end users might interact with machine learning systems, beyond communicating simple "right/wrong" judgments. If the users themselves could somehow work hand-in-hand with machine learning systems, the accuracy of learning systems could be improved...
Resource Type:: Research Paper
Full Text:: % of dangerous, virus-infested spam leaves the user in a far better situation than having no spam

Machine learning for cognitive networks : technology assessment and research challenges

Creator:: Oregon State University. Dept. of Computer Science, Dietterich, Thomas Glen, and Langley, Pat
Abstract:: The field of machine learning has made major strides over the last 20 years. This document summarizes the major problem formulations that the discipline has studied, then reviews three tasks in cognitive networking and briefly discusses how aspects of those tasks fit these formulations. After this, it discusses challenges for...
Resource Type:: Research Paper
Full Text:: advent of experimental comparisons around 1990 showed that, in general, no formalism led to better

Machine learning for activity recognition

Creator:: Oregon State University. Dept. of Computer Science and Shen, Jianqiang
Abstract:: This paper surveys the activity recognition task from a machine learning perspective. I give a definition of this problem, and I classify different activity recognition problems into two categories. I show the activities can be hierarchical, and based on such hierarchies I synthesize a language to describe activities. I give...
Resource Type:: Research Paper
Full Text:: Assistant [27] and automatic caregivers [42]. Instead of simply answering with yes or no in activity

Investigation of automatic construction of reactive controllers

Creator:: Westerberg, Caryl J.
Abstract:: In real-time control systems, the value of a control decision depends not only on the correctness of the decision but also on the time when that decision is available. Recent work in real-time decision making has used machine learning techniques to automatically construct reactive controllers, that is, controllers with little...
Resource Type:: Masters Thesis
Full Text:: automatically construct reactive controllers, that is, controllers with little or no internal state and low

Anomaly Detection: Theory, Explanation and User Feedback

Creator:: Siddiqui, Md Amran
Abstract:: Anomaly detection has been used in variety of applications in practice, including cyber-security, fraud detection and detecting faults in safety critical systems, etc. Anomaly detectors produce a ranked list of statistical anomalies, which are typically examined by human analysts in order to extract the actual anomalies of interest. Unfortunately, most...
Resource Type:: Dissertation
Full Text:: . Unfortunately, most anomaly detectors provide no explanations about why an instance was considered anomalous

ScholarsArchive@OSU

Toward harnessing user feedback for machine learning

Exploiting monotonicity via logistic regression in Bayesian network learning

Exact learning of unordered tree patterns from queries

Learning diagnostic policies from examples by systematic search

Learning and reasoning

Interacting meaningfully with machine learning systems : three experiments

Machine learning for cognitive networks : technology assessment and research challenges

Machine learning for activity recognition

Investigation of automatic construction of reactive controllers

Anomaly Detection: Theory, Explanation and User Feedback

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