Results 21 - 30
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3,640
Making a silk purse out of two sow’s ears: Young children’s use of comparison in category learning
- Journal of Experimental Psychology: General
, 2002
"... Comparison mechanisms have been implicated in the development of abstract, relational thought, including object categorization. D. Gentner and L. L. Namy (1 999) found that comparing 2 perceptually similar category members yielded taxonomic categorization, hhereas viewing a single member of the targ ..."
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Cited by 84 (13 self)
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of the target category elicited shallower perceptual responding. The present experiments tested 2 predictions that follow from Gentner and Namy’s (1999) model: (a) Comparison facilitates categorization only when the targets to be compared share relational commonalities, and (b) providing common labels
Behavioral theories and the neurophysiology of reward,
- Annu. Rev. Psychol.
, 2006
"... ■ Abstract The functions of rewards are based primarily on their effects on behavior and are less directly governed by the physics and chemistry of input events as in sensory systems. Therefore, the investigation of neural mechanisms underlying reward functions requires behavioral theories that can ..."
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Cited by 187 (0 self)
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'." (The Odyssey, Book VII, 800 BC). Despite these suggestive words, Homer's description hardly fits the common-sensical perceptions of reward, which largely belong to one of two categories. People often consider a reward as a particular object or event that one receives for having done something well
Reverse engineering of regulatory networks in human B cells.
- Nat. Genet.
, 2005
"... Cellular phenotypes are determined by the differential activity of networks linking coregulated genes. Available methods for the reverse engineering of such networks from genome-wide expression profiles have been successful only in the analysis of lower eukaryotes with simple genomes. Using a new m ..."
Abstract
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Cited by 178 (2 self)
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for most of the interactions. Validation of the network against available data led to the identification of MYC as a major hub, which controls a network comprising known target genes as well as new ones, which were biochemically validated. The newly identified MYC targets include some major hubs
Lexical access in aphasic and nonaphasic speakers
- Psychological Review
, 1997
"... An interactive 2-step theory of lexical retrieval was applied to the picture-naming error patterns of aphasic and nonaphasic speakers. The theory uses spreading activation in a lexical network to accomplish the mapping between the conceptual representation of an object and the phonological form of t ..."
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Cited by 170 (5 self)
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then used to derive predictions about the influence of syntactic categories on patient errors, the effect of phonology on semantic errors, error patterns after recovery, and patient performance on a single-word repetition task. The predictions were confirmed. It is argued that simple quantitative
Motion Strategies for Maintaining Visibility of a Moving Target
- In Proc. of the IEEE International Conference on Robotics & Automation (ICRA
, 1997
"... We introduce the problem of computing robot motion strategies that maintain visibility of a moving target in a cluttered workspace. Both motion constraints (as considered in standard motion planning) and visibility constraints (as considered in visual tracking) must be satisfied. Additional criteria ..."
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Cited by 111 (11 self)
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criteria, such as the total distance traveled, can be optimized. The general problem is divided into two categories, on the basis of whether the target is predictable. For the predictable case, an algorithm that computes optimal, numerical solutions is presented. For the more challenging case of a
Use of Wikipedia Categories in Entity Ranking
"... Abstract Wikipedia is a useful source of knowledge that has many applications in language processing and knowledge representation. The Wikipedia category graph can be compared with the class hierarchy in an ontology; it has some characteristics in common as well as some differences. In this paper, w ..."
Category learning through multimodality sensing
- Neural Computation
, 1998
"... Humans and other animals learn to form complex categories without receiving a target output, or teaching signal, with each input pattern. In contrast, most computer algorithms that emulate such performance assume the brain is provided with the correct output at the neuronal level or require grossly ..."
Abstract
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Cited by 51 (5 self)
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Humans and other animals learn to form complex categories without receiving a target output, or teaching signal, with each input pattern. In contrast, most computer algorithms that emulate such performance assume the brain is provided with the correct output at the neuronal level or require grossly
The use of category and exemplar knowledge in the solution of anchoring tasks
, 2000
"... Five studies examine the role that category and exemplar knowledge play in the mediation of anchoring effects---the assimilation of an absolute estimate to a previously considered standard. Studies 1 through 3 demonstrate that comparing the target object with a plausible anchor (i.e., a standard tha ..."
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Cited by 59 (20 self)
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Five studies examine the role that category and exemplar knowledge play in the mediation of anchoring effects---the assimilation of an absolute estimate to a previously considered standard. Studies 1 through 3 demonstrate that comparing the target object with a plausible anchor (i.e., a standard
Building Bridges for Web Query Classification
, 2006
"... Web query classification (QC) aims to classify Web users’ queries, which are often short and ambiguous, into a set of target categories. QC has many applications including page ranking in Web search, targeted advertisement in response to queries, and personalization. In this paper, we present a nove ..."
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Cited by 87 (11 self)
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Web query classification (QC) aims to classify Web users’ queries, which are often short and ambiguous, into a set of target categories. QC has many applications including page ranking in Web search, targeted advertisement in response to queries, and personalization. In this paper, we present a
Toxicity Category
"... In general, categories of acute toxicity ranging from “practically nontoxic ” to “very highly toxic ” have been established for aquatic organisms based on LC50 values (Table F.1), terrestrial organisms based on LD50 values (Table F.2), and avian species based on LD50 values (Table F.3). Subacute die ..."
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dietary toxicity for avian species is based on the LC50 values (Table F.4). and non-target insects based on LD50 values for honey bees (Table F.4) (EPA 2001). Table F.1. Categories for aquatic animal acute toxicity based on median lethal concentration in mg per liter ( parts per million).
Results 21 - 30
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3,640