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【PDF】Diversity in Ranking using Negative Reinforcement

Diversity in Ranking using Negative Reinforcement Rama Badrinath Department of Computer Science and Automation Indian Institute of Science Bangalore, India ra

【PDF】Applying Two-Level Reinforcement Ranking in Query-Oriented

Applying Two-Level Reinforcement Ranking in Query-Oriented Multidocument Summarization Furu Wei Department of Computing, Hong Kong Polytechnic University, Hon

Sentences for Extractive Summarization with Reinforcement

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【PDF】Sequence labeling with Reinforcement Learning and Ranking

Sequence labeling with Reinforcement Learning and Ranking Algorithms Francis Maes, Ludovic Denoyer and Patrick Gallinari Technical Report LIP6 - University of

Reinforcement learning produces dominant strategies for the

s Dilemma created using reinforcement learning A population size of 40 individuals (kept ranking strategies including Spiteful TFT (TFT but

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201674-For limited batch sizes, it is too expensive toan expert is inverse reinforcement learning (IRL)ranking to the demonstrations, created

【LRC】Applying Two-Level Reinforcement Ranking in Query-Oriented

Applying Two-Level Reinforcement Ranking in Query-Oriented Multidocument Summarization Furu Wei Department of Computing, Hong Kong Polytechnic University, Hon

【PDF】Applying Two-Level Reinforcement Ranking in Query-Oriented

Applying Two-Level Reinforcement Ranking in Query-Oriented Multidocument Summarization Furu Wei Department of Computing, Hong Kong Polytechnic University, Hon

【PDF】Ranking and Clustering of Sentences: A Reinforcement

Simultaneous Ranking and Clustering of Sentences: A Reinforcement Approach to These theme clusters are of different size and especially different importanc

A new mutually reinforcing network node and link ranking

This algorithm combines the mutual reinforcement feature of Hypertext Induced NWRank provides a new inexpensive way to rank nodes and links of a

Sequence Labeling with Reinforcement Learning and Ranking

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ranking and clustering of sentences : an reinforcement

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Ranked Reward: Enabling Self-Play Reinforcement Learning for

bin packing problem show that it outperforms generic Monte Carlo tree search, heuristic algorithms and reinforcement learning algorithms not using ranked

Diversity in Ranking using Negative Reinforcement | BibSonomy

The blue social bookmark and publication sharing system. 270938d0be361e1815b9e0188171bc7f6/dblp}, ee{Diversity in Ranking using Negative Reinforceme

Sentences with Positive and Negative Reinforcement for

2015106-Official Full-Text Publication: PNR 2: Ranking Sentences with Positive and Negative Reinforcement for Query-Oriented Update Summarization on

【PDF】Co-reranking by Mutual Reinforcement for Image Search

Co-reranking by Mutual Reinforcement for Image Search Ting Yao 1, Tao Mei 2, Chong-Wah Ngo 3 1 University of Science and Technology of China, Hefei

Reinforcing Google SEO Ranking with Google+

Social media strategies and the edge one can reinforce SEO ranking and can give over your competition when contesting for page one, position one status

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【PDF】Reinforcement Ranking

This re- sults in a novel form of reverse-time dynamic- programming/reinforcement-learning problem that achieves several advantages over Page Rank based

【PDF】of Scientific Literature through Mutual Reinforcement

Towards an Effective and Unbiased Ranking of Scientific Literature through Mutual Reinforcement Xiaorui Jiang Key Lab of Intell. Inf. Processing Inst. of

【PDF】A new mutually reinforcing network node and link ranking

This algorithm combines the mutual reinforcement feature of Hypertext Induced Ranking individual elements within networks, including both nodes and links,

【LRC】USING REINFORCEMENT LEARNING TO LEARN RELEVANCE RANKING OF

USING REINFORCEMENT LEARNING TO LEARN RELEVANCE RANKING OF SEARCH QUERIES For the degree of Master of Science Is approved by the final examining committee:

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model retrieval with multi-bipartite graph reinforcement

Representative views re-ranking for 3D model retrieval with multi-bipartite graph reinforcement model Full Text: PDF Get this Article

of scientific literature through mutual reinforcement

Towards an effective and unbiased ranking of scientific literature through mutual reinforcement Full Text: PDF Get this Article Authors: Xiaorui Jiang Key Lab

【PDF】Deep Reinforcement Learning for Mention-Ranking Coreference

In this paper we in- stead apply reinforcement learning to directly optimize(e.g., Haghighi and Klein, 2010), mention-ranking models are fast,

Sentences with Positive and Negative Reinforcement for

PNR2: Ranking SentenPNR2: Ranking Sentences with Positive and Negative Reinforcement for Query-Oriented Update Summarization