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On caption bias in interleaving experiments

by Katja Hofmann, Fritz Behr, Filip Radlinski - In CIKM ’12. ACM
"... Information retrieval evaluation most often involves manually as-sessing the relevance of particular query-document pairs. In cases where this is difficult (such as personalized search), interleaved comparison methods are becoming increasingly common. These methods compare pairs of ranking functions ..."
Abstract - Cited by 5 (4 self) - Add to MetaCart
interleaving experiments affected by caption bias.

Bayesian Analysis of Interleaved Learning and Response Bias in Behavioral Experiments

by Anne C. Smith, Sylvia Wirth, Wendy A. Suzuki, Emery N. Brown , 2007
"... ..."
Abstract - Cited by 11 (1 self) - Add to MetaCart
Abstract not found

Bayesian Analysis of Response Bias in Behavioral Experiments

by Anne C. Smith, Sylvia Wirth, Wendy Suzuki, Emery N. Brown
"... Accurate characterizations of behavior during learning experiments are essential for understanding the neural bases of learning. While learning experiments often require subjects to learn multiple tasks simultaneously, most analyze subject performance separately on each individual task, ignoring the ..."
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the true interleaved presentation order of the tasks and making it difficult to distinguish learning behavior from response preferences that may represent biases. We present a Bayesian analysis of a state-space model for characterizing simultaneous learning of multiple tasks and for assessing behavioral

Quality-biased Ranking for Queries with Commercial Intent

by Alexander Shishkin, Polina Zhinalieva, Kirill Nikolaev
"... Modern search engines are good enough to answer popular commercial queries with mainly highly relevant documents. However, our experiments show that users behavior on such relevant commercial sites may differ from one to another web-site with the same relevance label. Thus search engines face the ch ..."
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for the entire learning-to-rank dataset and used weighted sum of commercial and topical relevance instead of default relevance labels. For evaluating our method we created new DCG-like metrics and conducted off-line evaluation as well as on-line interleaving experiments demonstrating that a ranking algorithm

Highly Interleaved 5-bit, 250-MSample/s, 1.2-mW ADC With Redundant Channels in 65-nm CMOS

by Member, IEEE Brian P Ginsburg , Fellow, IEEE Anantha P Chandrakasan
"... Abstract-This successive approximation register ADC uses time-interleaving to gain the energy advantage of slower circuits (reduced supply voltage and improved bias points) without sacrificing high speed operation. The drawbacks of interleaving are addressed through architectural solutions. Channel ..."
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Abstract-This successive approximation register ADC uses time-interleaving to gain the energy advantage of slower circuits (reduced supply voltage and improved bias points) without sacrificing high speed operation. The drawbacks of interleaving are addressed through architectural solutions

Improving broadcast news transcription by lightly supervised discriminative training

by H. Y. Chan, P. C. Woodland - IN PROC. IEEE INT. CONF. ACOUST., SPEECH, SIGNAL PROCESS , 2004
"... In this paper, we present our experiments on lightly supervised discriminative training with large amounts of broadcast news data for which only closed caption transcriptions are available (TDT data). In particular, we use language models biased to the closedcaption transcripts to recognise the audi ..."
Abstract - Cited by 30 (2 self) - Add to MetaCart
In this paper, we present our experiments on lightly supervised discriminative training with large amounts of broadcast news data for which only closed caption transcriptions are available (TDT data). In particular, we use language models biased to the closedcaption transcripts to recognise

Decoding seen and attended motion directions from activity in the human visual cortex.

by Yukiyasu Kamitani , Frank Tong , Curr Biol , Tong Kamitani - Curr. Biol., , 2006
"... Summary Functional neuroimaging has successfully identified brain areas that show greater responses to visual motion Results In this study, we investigated whether ensemble activity patterns in the human visual cortex contain sufficiently reliable direction-selective information to decode seen and ..."
Abstract - Cited by 50 (0 self) - Add to MetaCart
and attended motion directions. We hypothesized that each voxel may have a weak but true bias in direction selectivity, and therefore the pooled output of many voxels might provide robust direction information. Such biases might arise from random variations in the distribution or response strength of neurons

Rijke. A probabilistic method for inferring preferences from clicks

by Katja Hofmann, Shimon Whiteson, Maarten De Rijke - In CIKM ’11 , 2011
"... Evaluating rankers using implicit feedback, such as clicks on docu-ments in a result list, is an increasingly popular alternative to tradi-tional evaluation methods based on explicit relevance judgments. Previous work has shown that so-called interleaved comparison methods can utilize click data to ..."
Abstract - Cited by 24 (15 self) - Add to MetaCart
to detect small differences between rankers and can be applied to learn ranking functions online. In this paper, we analyze three existing interleaved comparison methods and find that they are all either biased or insensitive to some differences between rankers. To address these problems, we present a new

Faster Genetic Programming based on Local Gradient Search of

by Alexander Topchy, William F. Punch - Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001 , 2001
"... We examine the effectiveness of gradient search optimization of numeric leaf values for Genetic Programming. Genetic search for tree-like programs at the population level is complemented by the optimization of terminal values at the individual level. Local adaptation of individuals is made easier by ..."
Abstract - Cited by 17 (0 self) - Add to MetaCart
approximation accuracy and selection changes when periods of local and global search are interleaved. Special attention is paid to the low overhead of the local gradient descent. Finally, the inductive bias of local learning is quantified.

CWI at the photo retrieval task . . .

by Theodora Tsikrika, Arjen P. de Vries
"... CWI’s experiments investigate the usefulness of clickthrough data for improving the diversity of image retrieval results. We use the search logs provided to us by Belga to find relevant images; we consider that these correspond to images clicked for queries exactly matching or best matching a topic’ ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
’s title and cluster titles. To reduce the noise, we also filter these results and only consider those clicked images that are also retrieved by a text-based approach that uses the image captions. To promote diversity, we interleave the images retrieved in the previous step for each of the cluster
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