Kernel methods are among the most successful tools in machine learning and are used in challenging data analysis problems in many disciplines. Here we provide examples where kernel methods have proven to be powerful tools for analyzing behavioral data, especially for identifying features in categorization experiments. We also demonstrate that kernel methods relate to perceptrons and exemplar mo...

In this paper we solve the problem of identifying a “matching” between two logic circuits or “networks”. A matching is a functions that maps each gate or “node” in the new circuit into one in the old circuit (if a matching does not exist it maps it to null). We present both an exact and a heuristic way to solve the maximal matching problem. The matching problem does not require any input corres...

Heavy users can be a critical segment for packaged goods marketers to target. Yet many attempts to profile heavy users have proven to be unsuccessful because of methodological and measurement problems. This article shows the diagnostic shortcomings of the commonly used mean comparison method of heavy user segmentation, and it presents a clustering method that effectively differentiates differen...

Are the words that people use indicative of their personality type preferences? In this paper, it is hypothesized that word-usage is not independent of personality type, as measured by the MyersBriggs Type Indicator (MBTI) personality assessment tool. In-class writing samples were taken from 40 graduate students along with the MBTI. The experiment utilizes probabilistic and nonprobabilistic cla...

In this paper we report the results of four experiments conducted to extract lists of nouns that exhibit inherent polysemy from corpus data following semiautomatic and automatic procedures. We compare the methods used and the results obtained. We argue that quantitative methods can be used to distinguish different classes of polysemous nouns in the language on the basis of the variability of co...

Entropy Methods for Identifying Hedonic Models This paper contributes to the literature on hedonic models in two ways. First, it makes use of Queyranne’s reformulation of a hedonic model in the discrete case as a network flow problem in order to provide a proof of existence and integrality of a hedonic equilibrium and efficient computational techniques of hedonic prices. Second, elaborating on ...

Distinguishing the somatic mutations responsible for cancer (driver mutations) from random, passenger mutations is a key challenge in cancer genomics. Driver mutations generally target cellular signaling and regulatory pathways consisting of multiple genes. This heterogeneity complicates the identification of driver mutations by their recurrence across samples, as different combinations of muta...

The widespread use of online publishing of text promotes storage of multiple versions of documents and mirroring of documents in multiple locations, and greatly simplifies the task of plagiarising the work of others. We evaluate two families of methods for searching a collection to find documents that are co-derivative, that is, are versions or plagiarisms of each other. The first, the ranking ...

The paper begins by identifying the organizations which are vulnerable to the SQL attack referred to as an SQL injection attack (SQLIA). The term “SQL injection attack” is defined and a diagram (Fig.1) is used to illustrate the way that attack occurs. In another section, the paper identifies the methods used to detect an attack to SQL, whereby the techniques are discussed extensively using rele...