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- Jason Chen, Alex Zelinsky
- 2003

The difficulty associated with programing existing robots is one of the main impediments to them finding application in domestic environments such as the home. A promising method for simplifying robot programing is Programing by Demonstration (PbD). Here, an end user can provide a demonstration of the task to be programed, with a PbD " interface "… (More)

Recently, the startling claim was made that sequential time series clustering is meaningless. This has important consequences for a significant amount of work in the literature , since such a claim invalidates this work's contribution. In this paper, we show that sequential time series clustering is not meaningless, and that the problem highlighted in these… (More)

Programming by Demonstration (PbD) is a technique for programming robots that holds much promise in making robots more accessible to ordinary, non-technical users. However, a well known difficulty with the method is that a human will often demonstrate the task to be programmed inconsistently or even erroneously, leading to the inclusion of what is… (More)

We want to find the conditional probability of an event A given that some other event B has occurred. The information that an event B has occurred may affect the probability of event A. The symbol P (A|B) read " the probability of A given B "-is used to denote a conditional probability. P (A|B) refers to the PROBABILITY that A will occur given that B has… (More)

- J Chen, Handout

The expected value and the variance of random variable are two important numerical features of probability distribution. The expected value measures " central tendency " of a random variable while the variance measures " spread " of a random variable. Sometime the expected value can be refereed as a mean of r.v. In statistical setting, the expected value… (More)

- Jason R. Chen
- IAT
- 2009

High level conceptual thought seems to be at the basis of the impressive human cognitive ability. Classical top-down (Logic based) and bottom-up (Connectionist) approaches to the problem have had limited success to date. We identify a small body of work that represents a different approach to AI. We call this work the Bottom Up Symbolic (BUS) approach and… (More)

—High level conceptual thought seems to be at the basis of the impressive human cognitive ability, and AI researchers aim to replicate this ability in artificial agents. Classical top-down (Logic based) and bottom-up (Connectionist) approaches to the problem have had limited success to date. We review a small body of work that represents a different… (More)

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